Jeremy S. De Bonet : GIFiply




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Increasing the compressibility of GIF images

In part 1 of my Ph.D. research, I've developed a image processing technique which increases the compressibility of images using Lempel-Ziv based algorithms. On algorithm of particular importance is the GIF image format which dominates data on the web today. This approach can reduce data requirements by up to 40% with virtually no visual loss. Further this approach can be combined with existing GIF reduction techniques to yield images which are as much as 60% smaller, yet still virtually indistinguishable from the originals.

The images shown here have been chosen from the first page of each of the top 50 Media Metrix sites as measured in December, 2001. Because these companies must pay for the bandwidth required to send these images to each recipient, in many cases much effort has already been taken to optimize these images.


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Original

Size: 2968 bytes
Bits Per Pixel: 1.58293
PSNR: exact
Reduction: n/a

GIFipled

Size: 1964 bytes
Bits Per Pixel: 1.04747
PSNR: 37.5557
Reduction: 33%

Color Reduction

Size: 1707 bytes
Bits Per Pixel: 0.9104
PSNR: 67.6572
Reduction: 42%

Color Reduction coupled with GIFiply

Size: 1036 bytes
Bits Per Pixel: 0.552533
PSNR: 37.5747
Reduction: 65%

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Jeremy S. De Bonet
jsd@debonet.com
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