Translator Disclaimer
3 September 2008 Lossless compression of images with permutation codes
Author Affiliations +
Images contain large amount of data and are used in many applications. Not only compressed image data save space, but also in certain applications such as the World-Wide-Web (WWW), they save time since the amount of data to be transmitted is smaller than the original image. Codebook approaches have been used in lossy image compression. For example, vector quantization employs codebook. For lossless compression of images, more than a decade ago, a codebook approach based on spanning trees was proposed. In this work we investigate suitability of permutation codes for still images.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Z. Arnavut and M. Arnavut "Lossless compression of images with permutation codes", Proc. SPIE 7075, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI, 707508 (3 September 2008);

Back to Top