Compression of palettized images with progressive coding of the color information
Uwe Rauschenbach · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
This paper introduces a new compression method for palettized images, which supports progressive refinement of the color information in contrast to the resolution refinement used in standard methods like interlaced GIF. Such, fine image details can be recognized after decoding only a small part of the compressed image data. Achieved compression ratios are comparable to those of interlaced GIF or PNG. The method combines color map sorting with bitplane by bitplane prediction and Golomb coding of the pixel field.