Title :
Parallel lossless compression of color-mapped images
Author :
Koc, Basar ; Arnavut, Ziya ; Kocak, Huseyin
Author_Institution :
Dept. of Comput. Sci., Univ. of Miami, Miami, FL, USA
Abstract :
The pseudo-distance technique (PDT) in lossless compression of color-mapped images has proved to be effective. We showed previously that by utilizing the PDT along with the Burrows-Wheeler transformation and an entropy coder, we obtained better compression gain than other well-known generic image compressors e.g. Portable Network Graphics (PNG). Most of these techniques have been designed as sequential image compression algorithms. In this paper, we propose a method for the PDT which allows to the parallelization of the PDT and reduces the compression time significantly.
Keywords :
data compression; entropy; image coding; matrix algebra; Burrows-Wheeler transformation; color-mapped images; compression gain; compression time; entropy coder; generic image compressors; parallel lossless compression; pseudo-distance technique; sequential image compression algorithms; Compressors; Data compression; Decoding; Entropy; Heuristic algorithms; Image coding; Image color analysis; PNG; Parallel compression; color-mapped images; lossless compression; pseudo-distance metric;
Conference_Titel :
High Capacity Optical Networks and Enabling Technologies (HONET-CNS), 2013 10th International Conference on
Conference_Location :
Magosa
Print_ISBN :
978-1-4799-2568-1
DOI :
10.1109/HONET.2013.6729771