Title :
Adaptation of bit recycling to arithmetic coding
Author :
Al-Rababa´a, Ahmad ; Dube, Danny
Author_Institution :
Comput. Sci. & Software Eng. Dept., Laval Univ., Quebec City, QC, Canada
Abstract :
The bit recycling compression technique has been introduced to minimize the redundancy caused by the multiplicity of encoding feature present in many compression techniques. It has achieved about 9% as a reduction in the size of the files compressed by Gzip. In this paper, we propose to adapt bit recycling to arithmetic code instead of Huffman code. This adaptation enables bit recycling to achieve better compression and a much wider applicability. A theoretical analysis that estimates the average amount of data compression that can be achieved by this adaptation is presented as well.
Keywords :
arithmetic codes; data compression; Gzip; arithmetic coding; bit recycling adaptation; bit recycling compression technique; compression technique; data compression; encoding feature multiplicity; file compression; redundancy minimization; size reduction; theoretical analysis; Decoding; Equations; Huffman coding; Mathematical model; Recycling; Redundancy;
Conference_Titel :
Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on
Conference_Location :
Algiers
DOI :
10.1109/WoSSPA.2013.6602411