Contemporary lossless image compression algorithms are affected by three main weak points: 1) image type compression effectiveness and efficiency dependence; 2) image size compression/decompression speed and space limitations; 3) no true lossless compression achieved: a few pixels may vary by com/decom processing. Third point is especially inadequate for discrete tomography applications where high data reliability is required. A natural modular arithmetic approach to achieve true lossless com/decom and to overcome those constraints is presented. Test image results to well-known techniques comparison will be presented and discussed.
Discrete Tomography Natural Lossless Compression
FIORINI, RODOLFO;
2013-01-01
Abstract
Contemporary lossless image compression algorithms are affected by three main weak points: 1) image type compression effectiveness and efficiency dependence; 2) image size compression/decompression speed and space limitations; 3) no true lossless compression achieved: a few pixels may vary by com/decom processing. Third point is especially inadequate for discrete tomography applications where high data reliability is required. A natural modular arithmetic approach to achieve true lossless com/decom and to overcome those constraints is presented. Test image results to well-known techniques comparison will be presented and discussed.File in questo prodotto:
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