이미지를 생성, 수정 및 변환하는 Java API

Java용 Aspose.Imaging을 위한 Maven 저장소

 //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>

라이브러리는 Aspose.Imaging 제품 페이지에서 직접 다운로드할 수 있습니다.

Java API를 통해 경로를 설정하여 이미지를 만들 수 있나요?

// 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();
}

Java API를 통해 TIFF를 JPEG 이미지로 변환

// 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();
    }

Java API를 통해 이미지에 중간값 필터 적용

// 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");

Java API를 통해 이미지를 이동하여 자르는 방법?

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");
}