Class DjvuImage
名称: Aspose.Imaging.FileFormats.Djvu 收藏: Aspose.Imaging.dll (25.4.0)
DjVu 文档类支持图形文件格式,方便无缝扫描文件和书籍的管理,整合文本、绘画、图像,支持多页操作,您可以有效访问独特的文档识别器,计算页面,设置活跃页面,接收特定的文档页面. 具有重定向、旋转、加密,挖掘,灰层转型,伽马纠正,调整,并过滤应用,这类授权准确的操作和改进DjVu 图像以便以轻松和准确的方式满足各种应用需求。
[JsonObject(MemberSerialization.OptIn)]
public sealed class DjvuImage : RasterCachedMultipageImage, IDisposable, IObjectWithBounds, IRasterImageArgb32PixelLoader, IRasterImageRawDataLoader, IHasXmpData, IHasMetadata, IMultipageImage, INotifyPropertyChangedInheritance
object ← DisposableObject ← DataStreamSupporter ← Image ← RasterImage ← RasterCachedImage ← RasterCachedMultipageImage ← DjvuImage
Implements
IDisposable , IObjectWithBounds , IRasterImageArgb32PixelLoader , IRasterImageRawDataLoader , IHasXmpData , IHasMetadata , IMultipageImage , INotifyPropertyChanged
继承人
RasterCachedMultipageImage.AdjustBrightness(int) , RasterCachedMultipageImage.AdjustContrast(float) , RasterCachedMultipageImage.AdjustGamma(float, float, float) , RasterCachedMultipageImage.AdjustGamma(float) , RasterCachedMultipageImage.Blend(Point, RasterImage, Rectangle, byte) , RasterCachedMultipageImage.BinarizeFixed(byte) , RasterCachedMultipageImage.BinarizeBradley(double, int) , RasterCachedMultipageImage.BinarizeBradley(double) , RasterCachedMultipageImage.BinarizeOtsu() , RasterCachedMultipageImage.Crop(Rectangle) , RasterCachedMultipageImage.Crop(int, int, int, int) , RasterCachedMultipageImage.Dither(DitheringMethod, int, IColorPalette) , RasterCachedMultipageImage.Grayscale() , RasterCachedMultipageImage.NormalizeHistogram() , RasterCachedMultipageImage.Rotate(float, bool, Color) , RasterCachedMultipageImage.RotateFlip(RotateFlipType) , RasterCachedMultipageImage.RotateFlipAll(RotateFlipType) , RasterCachedMultipageImage.Resize(int, int, ResizeType) , RasterCachedMultipageImage.Resize(int, int, ImageResizeSettings) , RasterCachedMultipageImage.ResizeWidthProportionally(int, ResizeType) , RasterCachedMultipageImage.ResizeHeightProportionally(int, ResizeType) , RasterCachedMultipageImage.ReplaceColor(int, byte, int) , RasterCachedMultipageImage.ReplaceNonTransparentColors(int) , RasterCachedMultipageImage.Filter(Rectangle, FilterOptionsBase) , RasterCachedMultipageImage.NormalizeAngle(bool, Color) , RasterCachedMultipageImage.CacheData() , RasterCachedMultipageImage.GetSerializedStream(ImageOptionsBase, Rectangle, out int) , RasterCachedMultipageImage.Height , RasterCachedMultipageImage.Width , RasterCachedMultipageImage.BitsPerPixel , RasterCachedMultipageImage.IsCached , RasterCachedMultipageImage.PageCount , RasterCachedMultipageImage.Pages , RasterCachedMultipageImage.HasAlpha , RasterCachedMultipageImage.HasTransparentColor , RasterCachedMultipageImage.ImageOpacity , RasterCachedMultipageImage.BackgroundColor , RasterCachedMultipageImage.XmpData , RasterCachedMultipageImage.PageExportingAction , RasterCachedImage.CacheData() , RasterCachedImage.Blend(Point, RasterImage, Rectangle, byte) , RasterCachedImage.Resize(int, int, ResizeType) , RasterCachedImage.Resize(int, int, ImageResizeSettings) , RasterCachedImage.RotateFlip(RotateFlipType) , RasterCachedImage.Rotate(float, bool, Color) , RasterCachedImage.Crop(Rectangle) , RasterCachedImage.Dither(DitheringMethod, int, IColorPalette) , RasterCachedImage.Grayscale() , RasterCachedImage.NormalizeHistogram() , RasterCachedImage.BinarizeFixed(byte) , RasterCachedImage.BinarizeOtsu() , RasterCachedImage.BinarizeBradley(double, int) , RasterCachedImage.BinarizeBradley(double) , RasterCachedImage.AdjustBrightness(int) , RasterCachedImage.AdjustContrast(float) , RasterCachedImage.AdjustGamma(float, float, float) , RasterCachedImage.AdjustGamma(float) , RasterCachedImage.IsCached , RasterImage.RemoveMetadata() , RasterImage.Save(Stream, ImageOptionsBase, Rectangle) , RasterImage.GetModifyDate(bool) , RasterImage.Dither(DitheringMethod, int) , RasterImage.Dither(DitheringMethod, int, IColorPalette) , RasterImage.GetDefaultPixels(Rectangle, IPartialArgb32PixelLoader) , RasterImage.GetDefaultRawData(Rectangle, IPartialRawDataLoader, RawDataSettings) , RasterImage.GetDefaultArgb32Pixels(Rectangle) , RasterImage.GetDefaultRawData(Rectangle, RawDataSettings) , RasterImage.GetArgb32Pixel(int, int) , RasterImage.GetPixel(int, int) , RasterImage.SetArgb32Pixel(int, int, int) , RasterImage.SetPixel(int, int, Color) , RasterImage.ReadScanLine(int) , RasterImage.ReadArgb32ScanLine(int) , RasterImage.WriteScanLine(int, Color[]) , RasterImage.WriteArgb32ScanLine(int, int[]) , RasterImage.LoadPartialArgb32Pixels(Rectangle, IPartialArgb32PixelLoader) , RasterImage.LoadPartialPixels(Rectangle, IPartialPixelLoader) , RasterImage.LoadArgb32Pixels(Rectangle) , RasterImage.LoadArgb64Pixels(Rectangle) , RasterImage.LoadPartialArgb64Pixels(Rectangle, IPartialArgb64PixelLoader) , RasterImage.LoadPixels(Rectangle) , RasterImage.LoadCmykPixels(Rectangle) , RasterImage.LoadCmyk32Pixels(Rectangle) , RasterImage.LoadRawData(Rectangle, RawDataSettings, IPartialRawDataLoader) , RasterImage.LoadRawData(Rectangle, Rectangle, RawDataSettings, IPartialRawDataLoader) , RasterImage.SaveRawData(byte[], int, Rectangle, RawDataSettings) , RasterImage.SaveArgb32Pixels(Rectangle, int[]) , RasterImage.SavePixels(Rectangle, Color[]) , RasterImage.SaveCmykPixels(Rectangle, CmykColor[]) , RasterImage.SaveCmyk32Pixels(Rectangle, int[]) , RasterImage.SetResolution(double, double) , RasterImage.SetPalette(IColorPalette, bool) , RasterImage.Resize(int, int, ImageResizeSettings) , RasterImage.Rotate(float, bool, Color) , RasterImage.Rotate(float) , RasterImage.BinarizeFixed(byte) , RasterImage.BinarizeOtsu() , RasterImage.BinarizeBradley(double) , RasterImage.BinarizeBradley(double, int) , RasterImage.Blend(Point, RasterImage, Rectangle, byte) , RasterImage.Blend(Point, RasterImage, byte) , RasterImage.Grayscale() , RasterImage.NormalizeHistogram() , RasterImage.AdjustBrightness(int) , RasterImage.AdjustContrast(float) , RasterImage.AdjustGamma(float, float, float) , RasterImage.AdjustGamma(float) , RasterImage.GetSkewAngle() , RasterImage.NormalizeAngle() , RasterImage.NormalizeAngle(bool, Color) , RasterImage.Filter(Rectangle, FilterOptionsBase) , RasterImage.ReplaceColor(Color, byte, Color) , RasterImage.ReplaceColor(int, byte, int) , RasterImage.ReplaceNonTransparentColors(Color) , RasterImage.ReplaceNonTransparentColors(int) , RasterImage.ToBitmap() , RasterImage.PremultiplyComponents , RasterImage.UseRawData , RasterImage.UpdateXmpData , RasterImage.XmpData , RasterImage.RawIndexedColorConverter , RasterImage.RawCustomColorConverter , RasterImage.RawFallbackIndex , RasterImage.RawDataSettings , RasterImage.UsePalette , RasterImage.RawDataFormat , RasterImage.RawLineSize , RasterImage.IsRawDataAvailable , RasterImage.HorizontalResolution , RasterImage.VerticalResolution , RasterImage.HasTransparentColor , RasterImage.HasAlpha , RasterImage.TransparentColor , RasterImage.ImageOpacity , Image.CanLoad(string) , Image.CanLoad(string, LoadOptions) , Image.CanLoad(Stream) , Image.CanLoad(Stream, LoadOptions) , Image.Create(ImageOptionsBase, int, int) , Image.Create(Image[]) , Image.Create(MultipageCreateOptions) , Image.Create(string[], bool) , Image.Create(string[]) , Image.Create(Image[], bool) , Image.GetFileFormat(string) , Image.GetFileFormat(Stream) , Image.GetFittingRectangle(Rectangle, int, int) , Image.GetFittingRectangle(Rectangle, int[], int, int) , Image.Load(string, LoadOptions) , Image.Load(string) , Image.Load(Stream, LoadOptions) , Image.Load(Stream) , Image.GetProportionalWidth(int, int, int) , Image.GetProportionalHeight(int, int, int) , Image.RemoveMetadata() , Image.CanSave(ImageOptionsBase) , Image.Resize(int, int) , Image.Resize(int, int, ResizeType) , Image.Resize(int, int, ImageResizeSettings) , Image.GetDefaultOptions(object[]) , Image.GetOriginalOptions() , Image.ResizeWidthProportionally(int) , Image.ResizeHeightProportionally(int) , Image.ResizeWidthProportionally(int, ResizeType) , Image.ResizeHeightProportionally(int, ResizeType) , Image.ResizeWidthProportionally(int, ImageResizeSettings) , Image.ResizeHeightProportionally(int, ImageResizeSettings) , Image.RotateFlip(RotateFlipType) , Image.Rotate(float) , Image.Crop(Rectangle) , Image.Crop(int, int, int, int) , Image.Save() , Image.Save(string) , Image.Save(string, ImageOptionsBase) , Image.Save(string, ImageOptionsBase, Rectangle) , Image.Save(Stream, ImageOptionsBase) , Image.Save(Stream, ImageOptionsBase, Rectangle) , Image.GetSerializedStream(ImageOptionsBase, Rectangle, out int) , Image.SetPalette(IColorPalette, bool) , Image.BitsPerPixel , Image.Bounds , Image.Container , Image.Height , Image.Palette , Image.UsePalette , Image.Size , Image.Width , Image.InterruptMonitor , Image.BufferSizeHint , Image.AutoAdjustPalette , Image.HasBackgroundColor , Image.FileFormat , Image.BackgroundColor , DataStreamSupporter.CacheData() , DataStreamSupporter.Save() , DataStreamSupporter.Save(Stream) , DataStreamSupporter.Save(string) , DataStreamSupporter.Save(string, bool) , DataStreamSupporter.DataStreamContainer , DataStreamSupporter.IsCached , DisposableObject.Dispose() , DisposableObject.Disposed , object.GetType() , object.ToString() , object.Equals(object?) , object.Equals(object?, object?) , object.ReferenceEquals(object?, object?) , object.GetHashCode()
Examples
此示例显示如何从文件流中加载DJVU图像。
string dir = "c:\\temp\\";
// Load a DJVU image from a file stream.
using (System.IO.Stream stream = System.IO.File.OpenRead(dir + "sample.djvu"))
{
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = new Aspose.Imaging.FileFormats.Djvu.DjvuImage(stream))
{
// Save each page as an individual PNG image.
foreach (Aspose.Imaging.FileFormats.Djvu.DjvuPage djvuPage in djvuImage.Pages)
{
// Generate a file name based on the page number.
string fileName = string.Format("sample.{0}.png", djvuPage.PageNumber);
djvuPage.Save(dir + fileName, new Aspose.Imaging.ImageOptions.PngOptions());
}
}
}Constructors
DjvuImage(Stream)
開始與 DjVu 圖像合作,開始一個新的例子。Aspose.Imaging.FileFormats.Djvu.DjvuImage 使用流量参数。想要无缝整合 DjVu 图像处理的开发人员他们的项目。
public DjvuImage(Stream stream)Parameters
stream Stream
流的。
Examples
此示例显示如何从文件流中加载DJVU图像。
string dir = "c:\\temp\\";
// Load a DJVU image from a file stream.
using (System.IO.Stream stream = System.IO.File.OpenRead(dir + "sample.djvu"))
{
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = new Aspose.Imaging.FileFormats.Djvu.DjvuImage(stream))
{
// Save each page as an individual PNG image.
foreach (Aspose.Imaging.FileFormats.Djvu.DjvuPage djvuPage in djvuImage.Pages)
{
// Generate a file name based on the page number.
string fileName = string.Format("sample.{0}.png", djvuPage.PageNumber);
djvuPage.Save(dir + fileName, new Aspose.Imaging.ImageOptions.PngOptions());
}
}
}Exceptions
流空了
DjvuImage(流量, LoadOptions)
開始與 DjVu 圖像無情地與此製造商合作,启动一个新的 Aspose.Imaging.FileFormats.Djvu.DjvuImage 类例,使用一个流和LoadOptions 参数. 适合想要准确控制的开发人员DjVu 图像加载选项同时保持简单性和效率。
public DjvuImage(Stream stream, LoadOptions loadOptions)Parameters
stream Stream
流出充电。
loadOptions LoadOptions
负载选项。
Examples
此示例显示如何从文件流中加载DJVU图像,以保持所指定的内存限制。
string dir = "c:\\temp\\";
// Load a DJVU image from a file stream.
using (System.IO.Stream stream = System.IO.File.OpenRead(dir + "sample.djvu"))
{
// The max allowed size for all internal buffers is 1MB.
Aspose.Imaging.LoadOptions loadOptions = new Aspose.Imaging.LoadOptions();
loadOptions.BufferSizeHint = 1 * 1024 * 1024;
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = new Aspose.Imaging.FileFormats.Djvu.DjvuImage(stream, loadOptions))
{
// Save each page as an individual PNG image.
foreach (Aspose.Imaging.FileFormats.Djvu.DjvuPage djvuPage in djvuImage.Pages)
{
// Generate a file name based on the page number.
string fileName = string.Format("sample.{0}.png", djvuPage.PageNumber);
djvuPage.Save(dir + fileName, new Aspose.Imaging.ImageOptions.PngOptions());
}
}
}Exceptions
流空了
Properties
ActivePage
通过访问或设置当前活跃的 DjVu 文档进行导航使用此属性的页面. 轻松地在页面之间交换,以专注于具体的内容,并提高您的文档观看体验。
public DjvuPage ActivePage { get; set; }财产价值
Examples
此示例显示如何从文件流中加载DJVU图像并打印有关页面的信息。
string dir = "c:\\temp\\";
// Load a DJVU image from a file stream.
using (System.IO.Stream stream = System.IO.File.OpenRead(dir + "sample.djvu"))
{
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = new Aspose.Imaging.FileFormats.Djvu.DjvuImage(stream))
{
System.Console.WriteLine("The total number of pages: {0}", djvuImage.Pages.Length);
System.Console.WriteLine("The active page number: {0}", djvuImage.ActivePage.PageNumber);
System.Console.WriteLine("The first page number: {0}", djvuImage.FirstPage.PageNumber);
System.Console.WriteLine("The last page number: {0}", djvuImage.LastPage.PageNumber);
foreach (Aspose.Imaging.FileFormats.Djvu.DjvuPage djvuPage in djvuImage.Pages)
{
System.Console.WriteLine("--------------------------------------------------");
System.Console.WriteLine("Page number: {0}", djvuPage.PageNumber);
System.Console.WriteLine("Page size: {0}", djvuPage.Size);
System.Console.WriteLine("Page raw format: {0}", djvuPage.RawDataFormat);
}
}
}
//The output may look like this:
//The total number of pages: 2
//The active page number: 1
//The first page number: 1
//The last page number: 2
//--------------------------------------------------
//Page number: 1
//Page size: { Width = 2481, Height = 3508}
//Page raw format: RgbIndexed1Bpp, used channels: 1
//--------------------------------------------------
//Page number: 2
//Page size: { Width = 2481, Height = 3508}
//Page raw format: RgbIndexed1Bpp, used channels: 1Exceptions
没有选择的活跃页面。
DjvuPages
快速获取您的 DjVu 文档中的所有页面,使用此简化您的文档处理工作流,通过轻松访问和在您的 DjVu 文件中管理个别页面,提高效率和通过方便的页面接收,简化您的任务。
public DjvuPage[] DjvuPages { get; }财产价值
DjvuPage ( )
FileFormat
获取与您的 DjVu 图像文件相关的文件格式信息。确定您的文件格式,以便无缝融入您的工作流。
public override FileFormat FileFormat { get; }财产价值
FirstPage
使用此属性访问您的 DjVu 文档的第一页。首页以便开始有效地查看或处理您的文档。
public DjvuPage FirstPage { get; }财产价值
Examples
此示例显示如何从文件流中加载DJVU图像并打印有关页面的信息。
string dir = "c:\\temp\\";
// Load a DJVU image from a file stream.
using (System.IO.Stream stream = System.IO.File.OpenRead(dir + "sample.djvu"))
{
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = new Aspose.Imaging.FileFormats.Djvu.DjvuImage(stream))
{
System.Console.WriteLine("The total number of pages: {0}", djvuImage.Pages.Length);
System.Console.WriteLine("The active page number: {0}", djvuImage.ActivePage.PageNumber);
System.Console.WriteLine("The first page number: {0}", djvuImage.FirstPage.PageNumber);
System.Console.WriteLine("The last page number: {0}", djvuImage.LastPage.PageNumber);
foreach (Aspose.Imaging.FileFormats.Djvu.DjvuPage djvuPage in djvuImage.Pages)
{
System.Console.WriteLine("--------------------------------------------------");
System.Console.WriteLine("Page number: {0}", djvuPage.PageNumber);
System.Console.WriteLine("Page size: {0}", djvuPage.Size);
System.Console.WriteLine("Page raw format: {0}", djvuPage.RawDataFormat);
}
}
}
//The output may look like this:
//The total number of pages: 2
//The active page number: 1
//The first page number: 1
//The last page number: 2
//--------------------------------------------------
//Page number: 1
//Page size: { Width = 2481, Height = 3508}
//Page raw format: RgbIndexed1Bpp, used channels: 1
//--------------------------------------------------
//Page number: 2
//Page size: { Width = 2481, Height = 3508}
//Page raw format: RgbIndexed1Bpp, used channels: 1Exceptions
第一页无法找到
HasAlpha
快速确定您的 DjVu 图像文件是否包含阿尔法频道。通过检查透明度信息的存在来简化工作流在你的图像中
public override bool HasAlpha { get; }财产价值
Identifier
获取文件的独特标识符
public int Identifier { get; }财产价值
LastPage
使用此属性恢复您的 DjVu 文档的最后一页。最终页面用于易于查看或处理目的。
public DjvuPage LastPage { get; }财产价值
Examples
此示例显示如何从文件流中加载DJVU图像并打印有关页面的信息。
string dir = "c:\\temp\\";
// Load a DJVU image from a file stream.
using (System.IO.Stream stream = System.IO.File.OpenRead(dir + "sample.djvu"))
{
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = new Aspose.Imaging.FileFormats.Djvu.DjvuImage(stream))
{
System.Console.WriteLine("The total number of pages: {0}", djvuImage.Pages.Length);
System.Console.WriteLine("The active page number: {0}", djvuImage.ActivePage.PageNumber);
System.Console.WriteLine("The first page number: {0}", djvuImage.FirstPage.PageNumber);
System.Console.WriteLine("The last page number: {0}", djvuImage.LastPage.PageNumber);
foreach (Aspose.Imaging.FileFormats.Djvu.DjvuPage djvuPage in djvuImage.Pages)
{
System.Console.WriteLine("--------------------------------------------------");
System.Console.WriteLine("Page number: {0}", djvuPage.PageNumber);
System.Console.WriteLine("Page size: {0}", djvuPage.Size);
System.Console.WriteLine("Page raw format: {0}", djvuPage.RawDataFormat);
}
}
}
//The output may look like this:
//The total number of pages: 2
//The active page number: 1
//The first page number: 1
//The last page number: 2
//--------------------------------------------------
//Page number: 1
//Page size: { Width = 2481, Height = 3508}
//Page raw format: RgbIndexed1Bpp, used channels: 1
//--------------------------------------------------
//Page number: 2
//Page size: { Width = 2481, Height = 3508}
//Page raw format: RgbIndexed1Bpp, used channels: 1Exceptions
最后一页无法找到
NextPage
通过您的 DjVu 文档导航,通过访问下一页与此方便的财产. 在您的文档查看中快速前进或处理任务。
public DjvuPage NextPage { get; }财产价值
Exceptions
下一页 无法找到
PageCount
将您的 DjVu 图像集中的页面总数与此属性恢复。非常适合快速评估您存储在 DjVu 格式的文档或书籍的范围。通过准确的页面计算信息提高工作流效率。
public override int PageCount { get; }财产价值
Pages
使用此属性访问您的 DjVu 图像收藏的个别页面。简化您在 DjVu 格式存储的文档或书籍的导航和操作通过直接访问每个页面,提高工作流效率页面回收。
public override Image[] Pages { get; }财产价值
Image ( )
Examples
此示例显示如何从文件流中加载DJVU图像。
string dir = "c:\\temp\\";
// Load a DJVU image from a file stream.
using (System.IO.Stream stream = System.IO.File.OpenRead(dir + "sample.djvu"))
{
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = new Aspose.Imaging.FileFormats.Djvu.DjvuImage(stream))
{
// Save each page as an individual PNG image.
foreach (Aspose.Imaging.FileFormats.Djvu.DjvuPage djvuPage in djvuImage.Pages)
{
// Generate a file name based on the page number.
string fileName = string.Format("sample.{0}.png", djvuPage.PageNumber);
djvuPage.Save(dir + fileName, new Aspose.Imaging.ImageOptions.PngOptions());
}
}
}PreviousPage
在您的 DjVu 文档中快速返回查看或处理任务使用此方便的属性访问前一页。通过您的文件轻松。
public DjvuPage PreviousPage { get; }财产价值
Exceptions
上一页未能找到
Methods
AdjustBrightness(因特)
调整图像的 亮度使用一个特定的参数,为最佳视觉清晰度提供照明水平的控制,这种方法增强器减少图像的整体亮度,允许精细调整达到所需的照明效果,通过调节亮度,用户可以优化图像可见性,并提高细节复制,以改善观看体验。
public override void AdjustBrightness(int brightness)Parameters
brightness int
光的价值。
Examples
下面的例子是DJVU图像的亮度纠正。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Set the brightness value. The accepted values of brightness are in the range [-255, 255].
djvuImage.AdjustBrightness(50);
djvuImage.Save(dir + "sample.AdjustBrightness.png", new Aspose.Imaging.ImageOptions.PngOptions());
}AdjustContrast(航海)
增强 Aspose.Imaging.Image 对比,以提高视觉清晰度以此方法突出细节,调整亮度差异光和黑暗的区域. 通过精细调节的对比水平,用户可以获得更活跃的和具有影响力的图像,提高整体图像质量,最大限度地提高细节可见性。这种调整有助于在颜色和结构中产生微妙的色调,导致更具动态和视觉吸引力的图像。
public override void AdjustContrast(float contrast)Parameters
contrast float
对比值(在范围内(100;100)
Examples
下面的例子进行DJVU图像的对比纠正。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Set the contrast value. The accepted values of contrast are in the range [-100f, 100f].
djvuImage.AdjustContrast(50f);
djvuImage.Save(dir + "sample.AdjustContrast.png", new Aspose.Imaging.ImageOptions.PngOptions());
}AdjustGamma(航海)
Gamma 纠正,特别是对红色、绿色和蓝色频道,涉及调整每个颜色组件的亮度单独。 通过应用不同的伽马与 RGB 频道相同,您可以清理整体亮度和对比。这种技术确保了准确的颜色表现,并改善了颜色表现。图像的视觉质量在不同的显示设备上。
public override void AdjustGamma(float gamma)Parameters
gamma float
红色、绿色和蓝色频道的Gamma
Examples
下面的例子是DJVU图像的伽马修复。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Set gamma coefficient for red, green and blue channels.
djvuImage.AdjustGamma(2.5f);
djvuImage.Save(dir + "sample.AdjustGamma.png", new Aspose.Imaging.ImageOptions.PngOptions());
}AdjustGamma(航海、航海、航海)
Gamma 修复适用于图像,可自定义的参数为红色,绿色,和蓝色频道,允许准确调整颜色平衡和亮度。方法通过精致色彩表现提高图像质量,确保最佳各式各樣的顯示裝置,調整個別的 gamma 值频道改善颜色平衡和视觉吸引力。
public override void AdjustGamma(float gammaRed, float gammaGreen, float gammaBlue)Parameters
gammaRed float
红频率的Gamma
gammaGreen float
绿色频道的Gamma
gammaBlue float
蓝色频道的Gamma
Examples
下面的例子进行DJVU图像的伽马修复,适用于颜色组件的不同坐标。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Set individual gamma coefficients for red, green and blue channels.
djvuImage.AdjustGamma(1.5f, 2.5f, 3.5f);
djvuImage.Save(dir + "sample.AdjustGamma.png", new Aspose.Imaging.ImageOptions.PngOptions());
}BinarizeBradley(双重, int)
使用布拉德利的适应边界算法的二进制化与整体图像边界是根据每个像素计算一个地方边界的方法。它适应在图像上照明的变化,使其适合不平等照明条件的图像,通过计算边界使用整体图像,它有效地处理大区,使其适用于实时应用. 这种技术通常用于文档处理,OCR(光学字符识别)和图像分区任务在准确二元化对于后续分析至关重要。
public override void BinarizeBradley(double brightnessDifference, int windowSize)Parameters
brightnessDifference double
像素之间的亮度差异和像素的平均窗口 s x s 的差异聚集在这个像素周围。
windowSize int
这个像素周围集中的像素的 x s 窗口的尺寸
Examples
下面的例子将DJVU图像与布拉德利的适应边界算法与指定的窗口大小二元化。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Binarize the image with a brightness difference of 5. The brightness is a difference between a pixel and the average of an 10 x 10 window of pixels centered around this pixel.
djvuImage.BinarizeBradley(5, 10);
djvuImage.Save(dir + "sample.BinarizeBradley5_10x10.png", new Aspose.Imaging.ImageOptions.PngOptions());
}BinarizeFixed(比特)
二元化与预定范围简化复杂图像到二元代表性,其中像素被分类为黑色或白色,基于其强度与指定的边界值相比,这种技术通常用于图像处理,以提高清晰度,简化分析,并为更多图像做好准备处理步骤,如光学字符识别(OCR)。边界,你可以快速将灰色图像转化为二进制形状,使它们更容易解释和提取有意义的信息。
public override void BinarizeFixed(byte threshold)Parameters
threshold byte
如果一个像素的相应灰色值超过边界值,则255 将被分配给它, 0 否则。
Examples
下面的例子二元化一个DJVU图像与预定的边界。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Binarize the image with a threshold value of 127.
// If a corresponding gray value of a pixel is greater than 127, a value of 255 will be assigned to it, 0 otherwise.
djvuImage.BinarizeFixed(127);
djvuImage.Save(dir + "sample.BinarizeFixed.png", new Aspose.Imaging.ImageOptions.PngOptions());
}BinarizeOtsu()
使用 Otsu 边界计算的二元化是一种自动计算基于图像的历史图的最佳边界值,它将图像分为前方和背景,通过尽量减少内阶级变异。广泛用于将图像分为二进制形式,特别是当分布时像素强度是双模或多模,这种方法对任务有好处。如对象检测、图像分类和属性提取等,准确的前面和背景之间的分辨是至关重要的。
public override void BinarizeOtsu()Examples
下面的例子二元化一个DJVU图像与Otsu边界。二元化图像只包含2种颜色 - 黑色和白色。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Binarize the image with Otsu thresholding.
djvuImage.BinarizeOtsu();
djvuImage.Save(dir + "sample.BinarizeOtsu.png", new Aspose.Imaging.ImageOptions.PngOptions());
}CacheData()
隐藏数据,以优化性能,减少重复数据的需求從外部來源的回收,這種方法也幫助保留資源,特别是在数据访问频繁或资源有限的情况下。
public override void CacheData()Examples
下面的例子显示如何隐藏DJVU图像的所有页面。
string dir = "c:\\temp\\";
// Load an image from a DJVU file.
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// This call caches all the pages so that no additional data loading will be performed from the underlying data stream.
image.CacheData();
// Or you can cache the pages individually.
foreach (Aspose.Imaging.FileFormats.Djvu.DjvuPage page in image.Pages)
{
page.CacheData();
}
}Crop(Rectangle)
“植物”将您的图像发送,以专注于具体细节或删除不需要的元素,增强其组成和视觉影响. 无论您是否调整照片为社交媒體,創建網站標誌,或設計印刷材料,這個工具幫助你以精度和清晰度完善你的图像。
public override void Crop(Rectangle rectangle)Parameters
rectangle Rectangle
直角。
Examples
下面的例子将种植DJVU图像,种植区域将通过Aspose.Imaging.Rectangle指定。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Crop the image. The cropping area is the rectangular central area of the image.
Aspose.Imaging.Rectangle area = new Aspose.Imaging.Rectangle(djvuImage.Width / 4, djvuImage.Height / 4, djvuImage.Width / 2, djvuImage.Height / 2);
djvuImage.Crop(area);
// Save the cropped image to PNG
djvuImage.Save(dir + "sample.Crop.png", new Aspose.Imaging.ImageOptions.PngOptions());
}Crop(int , int , int , int , int)
种植与转换,允许您准确调整位置和尺寸的在图像中挖掘的区域. 这种特性对精炼组合无价值,调整元素,并在您的视觉中强调焦点。在挖掘过程中,您可以实现像素完美的准确性和精致的以便轻松地编写你的图像。
public override void Crop(int leftShift, int rightShift, int topShift, int bottomShift)Parameters
leftShift int
左转。
rightShift int
正确的转换。
topShift int
顶级转换。
bottomShift int
底部交换。
Dither(DitheringMethod, int,IColorPalette)
“Dither”函数将对您的图像施加分散效应,增强其视觉质量通过减少连接和改善颜色过渡。在数字艺术、摄影或图形设计项目上,该功能将添加一个专业触摸你的图像,使它们看起来更顺利和更精致。
public override void Dither(DitheringMethod ditheringMethod, int bitsCount, IColorPalette customPalette)Parameters
ditheringMethod DitheringMethod
定位方法。
bitsCount int
最后的比特数为Ditering。
customPalette IColorPalette
可用于Ditering的配件。
Examples
下面的例子加载了一个DJVU图像,并使用不同的板块深度进行边界和流动直径。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage dicomImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Perform threshold dithering using 4-bit color palette which contains 16 colors.
// The more bits specified the higher quality and the bigger size of the output image.
// Note that only 1-bit, 4-bit and 8-bit palettes are supported at the moment.
dicomImage.Dither(Aspose.Imaging.DitheringMethod.ThresholdDithering, 4, null);
dicomImage.Save(dir + "sample.ThresholdDithering4.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage dicomImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Perform floyd dithering using 1-bit color palette which contains only 2 colors - black and white.
// The more bits specified the higher quality and the bigger size of the output image.
// Note that only 1-bit, 4-bit and 8-bit palettes are supported at the moment.
dicomImage.Dither(Aspose.Imaging.DitheringMethod.FloydSteinbergDithering, 1, null);
dicomImage.Save(dir + "sample.FloydSteinbergDithering1.png", new Aspose.Imaging.ImageOptions.PngOptions());
}Filter(Rectangle, FilterOptions 基于)
将过滤器应用到图像中指定的直角区域,以改善或修改图像中的直角区域。通过针对特定区域,这种方法允许准确调整,如闪发光、闪发光或应用艺术效应,以实现所需的视觉结果:在所选区域的精细调节过滤器允许用户自定义图像美学,提高清晰度,并创造艺术效果适应他们的偏好。
public override void Filter(Rectangle rectangle, FilterOptionsBase options)Parameters
rectangle Rectangle
直角。
options FilterOptionsBase
选项的。
Examples
下面的例子适用于DJVU图像的各种类型的过滤器。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Apply a median filter with a rectangle size of 5 to the entire image.
djvuImage.Filter(djvuImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.MedianFilterOptions(5));
djvuImage.Save(dir + "sample.MedianFilter.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Apply a bilateral smoothing filter with a kernel size of 5 to the entire image.
djvuImage.Filter(djvuImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.BilateralSmoothingFilterOptions(5));
djvuImage.Save(dir + "sample.BilateralSmoothingFilter.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Apply a Gaussian blur filter with a radius of 5 and a sigma value of 4.0 to the entire image.
djvuImage.Filter(djvuImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.GaussianBlurFilterOptions(5, 4.0));
djvuImage.Save(dir + "sample.GaussianBlurFilter.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Apply a Gauss-Wiener filter with a radius of 5 and a smooth value of 4.0 to the entire image.
djvuImage.Filter(djvuImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.GaussWienerFilterOptions(5, 4.0));
djvuImage.Save(dir + "sample.GaussWienerFilter.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Apply a motion wiener filter with a length of 5, a smooth value of 4.0 and an angle of 90.0 degrees to the entire image.
djvuImage.Filter(djvuImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.MotionWienerFilterOptions(10, 1.0, 90.0));
djvuImage.Save(dir + "sample.MotionWienerFilter.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Apply a sharpen filter with a kernel size of 5 and a sigma value of 4.0 to the entire image.
djvuImage.Filter(djvuImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.SharpenFilterOptions(5, 4.0));
djvuImage.Save(dir + "sample.SharpenFilter.png", new Aspose.Imaging.ImageOptions.PngOptions());
}Grayscale()
Grayscale 转型将图像转化为黑白图像,每个像素的强度由从黑色到白色的单一值代表。这个过程会删除颜色信息,导致单色图像。图像通常在应用程序中使用,在颜色不必要或简单的情况下偏好,如文档扫描、打印和某些类型的图像分析。
public override void Grayscale()Examples
下面的例子将彩色DJVU图像转化为其灰色图像,灰色图像仅由灰色的阴影组成,仅提供强度信息。
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
djvuImage.Grayscale();
djvuImage.Save(dir + "sample.Grayscale.png", new Aspose.Imaging.ImageOptions.PngOptions());
}LoadDocument(Stream)
使用此方法加载您的 DjVu 文档. 快速流动您的过程访问和导入您的 DjVu 文件到您的应用程序。
public static DjvuImage LoadDocument(Stream stream)Parameters
stream Stream
流的。
Returns
加载DJV文档
LoadDocument(流量, LoadOptions)
通过使用此方法导入您的 DjVu 文档与流和加载选项参数. 通过快速访问和进口 DjVu 文件进行流程在您的应用程序中,提供灵活性和定制选项你的需要。
public static DjvuImage LoadDocument(Stream stream, LoadOptions loadOptions)Parameters
stream Stream
流的。
loadOptions LoadOptions
负载选项。
Returns
加载DJV文档
ReleaseManagedResources()
释放管理的资源. 确保没有未管理的资源在这里释放,因为它们可能已经已经释放了
protected override void ReleaseManagedResources()Resize(int , int , resizeType)
重新创建图像,使用 Resize 方法,提供一个简单而有效的方式根据您的要求调整图像的尺寸。多功能使您能够轻松地将图像扩展到您想要的尺寸,提高其在各个平台和应用程序的可用性。
public override void Resize(int newWidth, int newHeight, ResizeType resizeType)Parameters
newWidth int
新的宽度。
newHeight int
新高度。
resizeType ResizeType
回归类型。
Examples
这个例子加载了DJVU的图像,并使用各种重复方法重复它。
string dir = "c:\\temp\\";
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale up by 2 times using Nearest Neighbour resampling.
image.Resize(image.Width* 2, image.Height* 2, Aspose.Imaging.ResizeType.NearestNeighbourResample);
// Save to PNG with default options.
image.Save(dir + "upsample.nearestneighbour.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale down by 2 times using Nearest Neighbour resampling.
image.Resize(image.Width / 2, image.Height / 2, Aspose.Imaging.ResizeType.NearestNeighbourResample);
// Save to PNG with default options.
image.Save(dir + "downsample.nearestneighbour.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale up by 2 times using Bilinear resampling.
image.Resize(image.Width* 2, image.Height* 2, Aspose.Imaging.ResizeType.BilinearResample);
// Save to PNG with default options.
image.Save(dir + "upsample.bilinear.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale down by 2 times using Bilinear resampling.
image.Resize(image.Width / 2, image.Height / 2, Aspose.Imaging.ResizeType.BilinearResample);
// Save to PNG with default options.
image.Save(dir + "downsample.bilinear.png", new Aspose.Imaging.ImageOptions.PngOptions());
}Resize(int , int , ImageResizeSettings)
将图像重定向到指定的宽度和高度,同时应用额外设置此方法允许用户调整图像的尺寸,同时保持所需的属性,如视角比例、图像质量和压缩等。设置. 通过提供复制选项的灵活性,用户可以调整图像符合具体要求,并优化其对各种应用的外观,并平台
public override void Resize(int newWidth, int newHeight, ImageResizeSettings settings)Parameters
newWidth int
新的宽度。
newHeight int
新高度。
settings ImageResizeSettings
重新设置。
Examples
这个例子加载了一个DJVU图像,并使用各种重新设置重新设置。
string dir = "c:\\temp\\";
Aspose.Imaging.ImageResizeSettings resizeSettings = new Aspose.Imaging.ImageResizeSettings();
// The adaptive algorithm based on weighted and blended rational function and lanczos3 interpolation.
resizeSettings.Mode = Aspose.Imaging.ResizeType.AdaptiveResample;
// The small rectangular filter
resizeSettings.FilterType = Aspose.Imaging.ImageFilterType.SmallRectangular;
// The number of colors in the palette.
resizeSettings.EntriesCount = 256;
// The color quantization is not used
resizeSettings.ColorQuantizationMethod = ColorQuantizationMethod.None;
// The euclidian method
resizeSettings.ColorCompareMethod = ColorCompareMethod.Euclidian;
using (Aspose.Imaging.Image image = (Aspose.Imaging.Image)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
Aspose.Imaging.FileFormats.Djvu.DjvuImage djvuImage = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)image;
// Scale down by 2 times using adaptive resampling.
djvuImage.Resize(image.Width / 2, image.Height / 2, resizeSettings);
// Save to PNG
djvuImage.Save(dir + "downsample.adaptive.png", new Aspose.Imaging.ImageOptions.PngOptions());
}ResizeHeightProportionally(重定向,重定向)
The ResizeHeightProportionally 方法允许你调整你的高度图像同时保持其外观比例,这确保您的图像保持它的比例,防止扭曲,并保留它的视觉完整性。无论您是为网页、移动应用或印刷媒体优化图像,这方法确保您的图像在不同的平台和设备上看起来最好。
public override void ResizeHeightProportionally(int newHeight, ResizeType resizeType)Parameters
newHeight int
新高度。
resizeType ResizeType
回归的类型。
Examples
这个例子加载了一个DJVU图像,并使用不同的重复方法相对重复它,只有高度,宽度自动计算。
string dir = "c:\\temp\\";
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale up by 2 times using Nearest Neighbour resampling.
image.ResizeHeightProportionally(image.Height* 2, Aspose.Imaging.ResizeType.NearestNeighbourResample);
// Save to PNG with the default options.
image.Save(dir + "upsample.nearestneighbour.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale down by 2 times using Nearest Neighbour resampling.
image.ResizeHeightProportionally(image.Height / 2, Aspose.Imaging.ResizeType.NearestNeighbourResample);
// Save to PNG with the default options.
image.Save(dir + "downsample.nearestneighbour.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale up by 2 times using Bilinear resampling.
image.ResizeHeightProportionally(image.Height* 2, Aspose.Imaging.ResizeType.BilinearResample);
// Save to PNG with the default options.
image.Save(dir + "upsample.bilinear.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale down by 2 times using Bilinear resampling.
image.ResizeHeightProportionally(image.Height / 2, Aspose.Imaging.ResizeType.BilinearResample);
// Save to PNG with the default options.
image.Save(dir + "downsample.bilinear.png", new Aspose.Imaging.ImageOptions.PngOptions());
}ResizeWidthProportionally(重定向,重定向)
The ResizeWidthProportionally 方法提供一个方便的解决方案,以调整你的图像的宽度,同时保持它的外观比例。宽度,您可以确保您的图像保持视觉吸引力和各式各样的设备和屏幕大小一致,提高其多样性在不同的背景下使用。
public override void ResizeWidthProportionally(int newWidth, ResizeType resizeType)Parameters
newWidth int
新的宽度。
resizeType ResizeType
回归的类型。
Examples
这个例子加载了一个DJVU图像,并使用不同的重复方法相对重复它,仅指定宽度,高度自动计算。
string dir = "c:\\temp\\";
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale up by 2 times using Nearest Neighbour resampling.
image.ResizeWidthProportionally(image.Width* 2, Aspose.Imaging.ResizeType.NearestNeighbourResample);
// Save to PNG with the default options.
image.Save(dir + "upsample.nearestneighbour.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale down by 2 times using Nearest Neighbour resampling.
image.ResizeWidthProportionally(image.Width / 2, Aspose.Imaging.ResizeType.NearestNeighbourResample);
// Save to PNG with the default options.
image.Save(dir + "downsample.nearestneighbour.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale up by 2 times using Bilinear resampling.
image.ResizeWidthProportionally(image.Width* 2, Aspose.Imaging.ResizeType.BilinearResample);
// Save to PNG with the default options.
image.Save(dir + "upsample.bilinear.png", new Aspose.Imaging.ImageOptions.PngOptions());
}
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
// Scale down by 2 times using Bilinear resampling.
image.ResizeWidthProportionally(image.Width / 2, Aspose.Imaging.ResizeType.BilinearResample);
// Save to PNG with the default options.
image.Save(dir + "downsample.bilinear.png", new Aspose.Imaging.ImageOptions.PngOptions());
}Rotate(彩色 , 彩色 , 彩色)
旋转图像在其中心周围,使用旋转方法RasterCachedMultipageImage 类. 这个方便的功能允许您轻松调整图像的导向,同时保持其中心位置,提高您的图像操纵能力。
public override void Rotate(float angle, bool resizeProportionally, Color backgroundColor)Parameters
angle float
旋转的角度在度,积极的值会旋转时钟。
resizeProportionally bool
如果设置为“真实”,您的图像大小将根据旋转直角(角点)的图像在其他情况下,留下尺寸无触摸,只有内部图像内容被旋转。
backgroundColor Color
背景的颜色。
RotateFlip(RotateFlipType)
The RotateFlip 方法为您的图像提供多元化的操作选项,允许您可以自行旋转、滑动或在活跃框中进行两项操作。无论你是编辑照片,创建图形,还是提高数字艺术,这方法提供对您的图像的方向和组成的准确控制,确保他们以轻松和高效的方式满足您的创意愿景。
public override void RotateFlip(RotateFlipType rotateFlipType)Parameters
rotateFlipType RotateFlipType
旋转的Flip类型。
Examples
这个例子加载了DJVU图像,旋转了90度时钟,并可选地垂直和(或)垂直滑动图像。
string dir = "c:\\temp\\";
Aspose.Imaging.RotateFlipType[] rotateFlipTypes = new Aspose.Imaging.RotateFlipType[]
{
Aspose.Imaging.RotateFlipType.Rotate90FlipNone,
Aspose.Imaging.RotateFlipType.Rotate90FlipX,
Aspose.Imaging.RotateFlipType.Rotate90FlipXY,
Aspose.Imaging.RotateFlipType.Rotate90FlipY,
};
foreach (Aspose.Imaging.RotateFlipType rotateFlipType in rotateFlipTypes)
{
// Rotate, flip and save to the output file.
using (Aspose.Imaging.FileFormats.Djvu.DjvuImage image = (Aspose.Imaging.FileFormats.Djvu.DjvuImage)Aspose.Imaging.Image.Load(dir + "sample.djvu"))
{
image.RotateFlip(rotateFlipType);
image.Save(dir + "sample." + rotateFlipType + ".png", new Aspose.Imaging.ImageOptions.PngOptions());
}
}SaveData(Stream)
保存数据。
protected override void SaveData(Stream stream)Parameters
stream Stream
流来保存数据。
UpdateDimensions(int , int , int)
更新图像尺寸。
protected override void UpdateDimensions(int newWidth, int newHeight)Parameters
newWidth int
新图像宽度。
newHeight int
新图像高度。
PropertyChanged
发生时,财产价值发生变化。
public event PropertyChangedEventHandler PropertyChanged