Aspose.Imaging for .NET一種高級圖像處理控件，允許開發(fā)人員創(chuàng)建，編輯，繪制或轉(zhuǎn)換圖像。圖像導(dǎo)出和轉(zhuǎn)換是API核心功能之一，它允許在不安裝Photoshop應(yīng)用程序或任何其他圖像編輯器的情況下保存為AdobePhotoshop®本機格式。

在Aspose.Imaging for .NET v20.2中，支持TIFF格式的不同柵格數(shù)據(jù)類型，優(yōu)化Tiff和Gif格式的速度或內(nèi)存，添加矢量和多頁圖像的新類，修復(fù)多項格式轉(zhuǎn)換時發(fā)生的異常，接下來我們用示例演示新增的功能。

>>歡迎下載Aspose.Imaging for .NET v20.2體驗

新增與改善

key	概述	類別
IMAGINGNET-3624	支持TIFF格式的不同柵格數(shù)據(jù)類型	功能
IMAGINGNET-3588	將TIFF轉(zhuǎn)換為PNG的異常	功能
IMAGINGNET-3409	允許針對Tiff格式的速度或內(nèi)存優(yōu)化策略	功能
IMAGINGNET-3408	允許針對Gif格式的速度或內(nèi)存優(yōu)化策略	功能
IMAGINGNET-3364	統(tǒng)一處理多頁圖像導(dǎo)出	功能
IMAGINGNET-2548	介紹矢量和多頁圖像的新類	功能
IMAGINGNET-3633	將Tiff圖片轉(zhuǎn)換為PNG的異常	增強功能
IMAGINGNET-3632	將jpeg轉(zhuǎn)換為pdf的異常	增強功能
IMAGINGNET-3631	將JPG轉(zhuǎn)換為PDF時的異常	增強功能
IMAGINGNET-3623	QA 19.11 .NET 3549不透明零件	增強功能

新功能用法示例

IMAGINGNET-3624支持TIFF格式的不同柵格數(shù)據(jù)類型

示例一：根據(jù)其自身的原始數(shù)據(jù)格式加載原始數(shù)據(jù)。

// Raw data after decoding is processed to eliminate format-specific effects (prediction and invert color component values).
using (RasterImage image = (RasterImage)Image.Load("input.tif"))
{
image.LoadRawData(image.Bounds, image.RawDataSettings, new CustomRawDataLoader());
}

示例二：根據(jù)用戶指定的原始數(shù)據(jù)格式加載原始數(shù)據(jù)。

// In this case, in addition, raw data is converted from its own format to the one specified by the user.
// Note that so far not all raw data formats can be converted to other formats (since not all color converters are still implemented and registered at the ColorConverterFactory).
using (RasterImage image = (RasterImage)Image.Load("input.tif"))
{
   RawDataSettings rawDataSettings = new RawDataSettings()
          {
             PixelDataFormat = PixelDataFormat.Rgb24Bpp,
             DitheringMethod = DitheringMethods.PaletteIgnore,
          };
   rawDataSettings.LineSize =
       ((image.Width * rawDataSettings.PixelDataFormat.BitsPerPixel) + 7) / 8;

image.LoadRawData(image.Bounds, image.RawDataSettings, new CustomRawDataLoader());
}

示例三：加載未經(jīng)處理的原始原始數(shù)據(jù)。

// Format-specific effects (prediction and invert color component values) may be present in this data, therefore this data cannot be used in color converters without pre-processing.
using (RasterImage image = (RasterImage)Image.Load("input.tif"))
{
image.LoadRawData(image.Bounds, null, new CustomRawDataLoader());
}

// Custom raw data loader
class CustomRawDataLoader : IPartialRawDataLoader
{
   ////// Processes the loaded data.
   //////The data rectangle.///The raw data.///The start data point. If not equal to (left,top) meaning that it is not full rectangle we have.///The end data point. If not equal to (right,bottom) meaning that it is not full rectangle we have.public void Process(Rectangle rectangle, byte[] data, Point start, Point end)
    {
       this.Process(rectangle, data, start, end, null);
    }

   ////// Processes the loaded data.
   //////The data rectangle.///The raw data.///The start data point. If not equal to (left,top) meaning that it is not full rectangle we have.///The end data point. If not equal to (right,bottom) meaning that it is not full rectangle we have.///The load options.public void Process(Rectangle rectangle, byte[] data, Point start, Point end, LoadOptions loadOptions)
    {
       // custom raw data processing
    }
}

IMAGINGNET-3623 QA 19.11 .NET 3549不透明零件

using (Image image = Image.Load("sample_car.svg"))
{
 image.Resize(image.Width * 2, image.Height * 2);
 image.Save("sample_car_resize_2_2.png", new PngOptions());
}

IMAGINGNET-3409允許對Tiff格式進行速度或內(nèi)存優(yōu)化的策略

// Setting a memory limit of 10 megabytes for target loaded image
using (Image image = Image.Load("Default.tiff", new LoadOptions { BufferSizeHint = 10 }))
{
   image.Save("Default_export.tiff", new TiffOptions(TiffExpectedFormat.Default));
}

using (Image image = Image.Load("TiffCcitRle.tiff", new LoadOptions { BufferSizeHint = 10 }))
{
   image.Save("TiffCcitRle_export.tiff", new TiffOptions(TiffExpectedFormat.TiffCcitRle));
}

using (Image image = Image.Load("TiffDeflateRgb.tiff", new LoadOptions { BufferSizeHint = 10 }))
{
   image.Save("TiffDeflateRgb_export.tiff", new TiffOptions(TiffExpectedFormat.TiffDeflateRgb));
}

using (Image image = Image.Load("TiffJpegYCbCr.tiff", new LoadOptions { BufferSizeHint = 10 }))
{
   image.Save("TiffJpegYCbCr_export.tiff", new TiffOptions(TiffExpectedFormat.TiffJpegYCbCr));
}

using (Image image = Image.Load("TiffLzwCmyk.tiff", new LoadOptions { BufferSizeHint = 10 }))
{
   image.Save("TiffLzwCmyk_export.tiff", new TiffOptions(TiffExpectedFormat.TiffLzwCmyk));
}

using (Image image = Image.Load("TiffNoCompressionRgb.tiff", new LoadOptions { BufferSizeHint = 10 }))
{
   image.Save("TiffNoCompressionRgb_export.tiff", new TiffOptions(TiffExpectedFormat.TiffNoCompressionRgb));
}

IMAGINGNET-3408允許Gif格式的速度或內(nèi)存優(yōu)化策略

// Setting a memory limit of 10 megabytes for target loaded image
using (Image image = Image.Load("flowers.gif", new LoadOptions { BufferSizeHint = 10 }))
{
   image.Save("flowers_export.gif", new GifOptions());
}

IMAGINGNET-3364統(tǒng)一處理多頁圖像輸出

string baseFolder = "D:\\images";
string outputFolderName = Path.Combine(baseFolder, "out");
string[] files = new[] { "MultiframePage1.dicom", "VariousObjectsMultiPage.odg" };

foreach (string inputFileName in files)
 {
   using (Image image = Image.Load(Path.Combine(baseFolder, inputFileName)))
    {
      PdfOptions imageOptions = new PdfOptions();
      imageOptions.MultiPageOptions = new MultiPageOptions(new IntRange(1, 2));                    
      if (image is VectorImage)
       {
          imageOptions.VectorRasterizationOptions = (VectorRasterizationOptions)image.GetDefaultOptions(new object[] { Color.White, image.Width, image.Height });
          imageOptions.VectorRasterizationOptions.TextRenderingHint = TextRenderingHint.SingleBitPerPixel;
          imageOptions.VectorRasterizationOptions.SmoothingMode = SmoothingMode.None;
        }

      string outFileName = Path.Combine(outputFolderName, inputFileName + ".pdf");
      image.Save(outFileName, imageOptions);
    }
 }

IMAGINGNET-2548引入矢量和多頁圖像的新類

1. 引入了抽象類VectorImage。并且?guī)熘械乃惺噶繄D像都從此類繼承。位圖圖像是從RasterImage繼承的。這樣就可以唯一地分離光柵圖像和矢量圖像。

   using (Image image = Image.Load(fileName))  
   {  
    if (image is VectorImage)  
    {  
    ...  
    } 
    else 
    {  
    ...  
    }
   }

2. 引入了IMultipageImage接口，借助它可以確定圖像是否包含圖層/頁面/框架。所有多頁圖像（例如PSD，CDR，GIF等）都是該接口的后代。借助Pages屬性，您可以訪問庫中任何多頁圖像的頁面。

   using (Image image = Image.Load(fileName))  
   { 
    if (image is IMultipageImage) 
    {  
    var pages = ((IMultipageImage)image).Pages; 
    }  
   } 

3. 有了MultiPageOptions選項，導(dǎo)出多頁圖像變得更加容易。使用此選項，可以指定要導(dǎo)出為其他格式的頁面。在導(dǎo)出為單頁格式的情況下，將導(dǎo)出該范圍的第一頁；如果導(dǎo)出為多頁面格式，則將導(dǎo)出該范圍的所有頁面。
   從多頁格式導(dǎo)出到單頁的示例：

   int startPage = 3; 
   int countPage = 2; 
   using (Image image = Image.Load(fileName)) 
   { 
    PngOptions pngOptions = new PngOptions(); 
    pngOptions.MultiPageOptions = new MultiPageOptions(new IntRange(startPage, countPage));  
    image.Save(outFileName, pngOptions); 
   }