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: 5740 bytes
Bits Per Pixel: 1.35802
PSNR: exact
Reduction: n/a

GIFipled

Size: 4611 bytes
Bits Per Pixel: 1.09091
PSNR: 33.9836
Reduction: 19%

Color Reduction

Size: 5585 bytes
Bits Per Pixel: 1.32135
PSNR: 60.4964
Reduction: 2%

Color Reduction coupled with GIFiply

Size: 4480 bytes
Bits Per Pixel: 1.05992
PSNR: 33.9863
Reduction: 21%

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Jeremy S. De Bonet
jsd@debonet.com
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