Java API 来生成、修改和转换图像

Aspose.Imaging for Java 的 Maven 存储库

 //First you need to specify Aspose Repository configuration / location in your Maven pom.xml as follows:

<repositories>
	<repository>
	<id>AsposeJavaAPI</id>
	<name>Aspose Java API</name>
	<url>https://releases.aspose.com/java/repo/</url>
	</repository>
</repositories>

//Define Aspose.PDF for Java API Dependency

<dependencies>
	<dependency>
	<groupId>com.aspose</groupId>
	<artifactId>aspose-imaging</artifactId>
	<version>22.12</version>
    <classifier>22.12</classifier>
	</dependency>
</dependencies>

您可以直接从Aspose.Imaging产品页面下载该库

通过 Java API 设置路径来创建图像？

// The path to the documents directory.
String dataDir = "D:/dataDir/";
            
// Creates an instance of BmpOptions and set its various properties
BmpOptions imageOptions = new BmpOptions();
imageOptions.setBitsPerPixel(24);

// Define the source property for the instance of BmpOptions  Second boolean parameter determines if the file is temporal or not
imageOptions.setSource(new FileCreateSource(dataDir + "CreatingAnImageBySettingPath_out.bmp", false));

try
{
    // Creates an instance of Image and call Create method by passing the BmpOptions object
    try (Image image = Image.create(imageOptions, 500, 500))
    {
        image.save(dataDir + "CreatingAnImageBySettingPath1_out.bmp");
    }
}
finally
{
    imageOptions.close();
}

通过 Java API 将 TIFF 转换为 JPEG 图像

// The path to the documents directory.
	String dataDir = Utils.getSharedDataDir(ConvertTIFFToJPEG.class) + "ManipulatingJPEGImages/";
    
TiffImage tiffImage = (TiffImage)Image.load(dataDir + "source2.tif");
    try    
    {
        int i = 0;
        for (TiffFrame tiffFrame : tiffImage.getFrames())
        {
            JpegOptions saveOptions = new JpegOptions();
            saveOptions.setResolutionSettings(new ResolutionSetting(tiffFrame.getHorizontalResolution(), tiffFrame.getVerticalResolution()));

            TiffOptions frameOptions = tiffFrame.getFrameOptions();
            if (frameOptions != null)
            {
                // Set the resolution unit explicitly.
                switch (frameOptions.getResolutionUnit())
                {
                    case TiffResolutionUnits.None:
                        saveOptions.setResolutionUnit(ResolutionUnit.None);
                        break;

                    case TiffResolutionUnits.Inch:
                        saveOptions.setResolutionUnit(ResolutionUnit.Inch);
                        break;

                    case TiffResolutionUnits.Centimeter:
                        saveOptions.setResolutionUnit(ResolutionUnit.Cm);
                        break;

                    default:
                        throw new RuntimeException("Current resolution unit is unsupported!");
                }
            }

            String fileName = "source2.tif.frame." + (i++) + "." 
                    + ResolutionUnit.toString(ResolutionUnit.class, saveOptions.getResolutionUnit()) + ".jpg";
            tiffFrame.save(dataDir + fileName, saveOptions);
        }
    }
    finally
    {
        tiffImage.close();
    }

通过 Java API 对图像应用中值滤波器

// Load the noisy image 
Image image = Image.load(dataDir + "aspose-logo.gif");
    // caste the image into RasterImage
    RasterImage rasterImage = (RasterImage) image;

    if (rasterImage == null)
    {
        return;
    }

    // Create an instance of MedianFilterOptions class and set the size.
    MedianFilterOptions options = new MedianFilterOptions(4);

    // Apply MedianFilterOptions filter to RasterImage object.
    rasterImage.filter(image.getBounds(), options);

    // Save the resultant image
    image.save(dataDir + "median_test_denoise_out.gif");

如何通过 Java API 以 Shifts 方式裁剪图像？

u// The path to the documents directory.
String dataDir = "dataDir/jpeg/";

// Load an existing image into an instance of RasterImage class
try (RasterImage rasterImage = (RasterImage)Image.load(dataDir + "aspose-logo.jpg"))
{
    // Before cropping, the image should be cached for better performance
    if (!rasterImage.isCached())
    {
        rasterImage.cacheData();
    }

    // Define shift values for all four sides
    int leftShift = 10;
    int rightShift = 10;
    int topShift = 10;
    int bottomShift = 10;

    // Based on the shift values, apply the cropping on image Crop method will shift the image bounds toward the center of image and Save the results to disk
    rasterImage.crop(leftShift, rightShift, topShift, bottomShift);
    rasterImage.save(dataDir + "CroppingByShifts_out.jpg");
}