Lossless compression of images using minterm coding
D. Pramanik, J. Jacob, Jacob Augustine
Abstract
D. Pramanik, J. Jacob, Jacob Augustine
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.
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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.
Key concepts: Lossless compression, Lossless JPEG, Lossy compression, Adaptive coding, Computer science, JPEG, Data compression, Image compression