Quality Image Resizing with JAI

Compare Thumbmaster to Other Solutions

ThumbMaster provides Java programmers a unique combination of high image quality and ease of use, which allows them to quickly create software that resizes images without needing to settle for ugly results or complicated integration with external tools. The following sets of examples demonstrate the result of resizing various photographs — ranging in size from 1024×768 to 3139×2448 — to fit inside a 150×150 pixel box using JAI’s bicubic interpolation, ImageMagick, and ThumbMaster.

ThumbMaster Produces Higher Quality Images Than Standard JAI

Experienced users of JAI are familiar with the aliased, pixelated images that are created when resizing images. ThumbMaster uses sophisticated filtering algorithms to allow images to be resized to a mere fraction of their original dimensions without generating results with poor image quality. This is done as part of a single call to the JAI scale operator, without introducing the complexity of performing multiple resize steps or the performance penalty of applying low-pass filters to your image resizing code.

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