Aspose.Imaging for Java 25.4 - Release notes

try (Image image = Image.load("00506.dcm"))
{
    image.save("00506.dcm.jpg");
}

try (Image image = Image.load("saffah khan cmx.cmx"))
{
    image.save("saffah khan cmx.cmx.jpg", new JpegOptions() {{
          setVectorRasterizationOptions(new CmxRasterizationOptions() {{ 
				setTextRenderingHint(TextRenderingHint.SingleBitPerPixel);
				setSmoothingMode(SmoothingMode.AntiAlias);
				setPositioning(PositioningTypes.Relative); 
			}});
		}});
}

### Example
Images that appear dull and lack sufficient brightness due to an underutilized color range can have their perceived quality significantly improved by applying a histogram normalization filter. This technique adjusts the image to fully utilize the entire available color spectrum fully, enhancing both contrast and visual appeal. 

To further enhance the contrast of the image, you can utilize the **adjustContrast(float contrast)** method, where the ***contrast*** value ranges from -100 to 100. This allows for fine-tuned control over the image's contrast, enabling both subtle and dramatic improvements as needed.


String inputFilePath = "input.png";
String outputFilePath = "output.png";
String outputFilePath2 = "output2.png";
try (RasterImage image = (RasterImage)Image.load(inputFilePath))
{
	image.normalizeHistogram();
	image.save(outputFilePath);
	image.adjustContrast(30);
	image.save(outputFilePath2);
}