Title :
Lossless compression of images using minterm coding
Author :
Pramanik, Debashish ; Jacob, James ; Augustine, Jacob
Author_Institution :
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
Abstract :
Lossless compression of images is important in fields like medical imaging and remote sensing. There are only a small number of good algorithms known to date for lossless image compression. We present a lossless image compression scheme which uses the concepts of logic coding and auto-adaptive block coding to obtain a scheme which performs comparable to the JPEG standard. The scheme reaches the best possible value of compression automatically, unlike the case of JPEG which gives a range of compression, based on available predictors
Keywords :
Huffman codes; adaptive codes; data compression; image coding; Huffman code; JPEG standard; algorithms; auto-adaptive block coding; logic coding; lossless image compression; medical imaging; minterm coding; remote sensing; Biomedical engineering; Biomedical imaging; Block codes; Huffman coding; Image coding; Jacobian matrices; Logic; Minimization methods; Remote sensing; Transform coding;
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
DOI :
10.1109/ICICS.1997.652258