Title :
An Improved Image Encoding Algorithm Based on EZW and Huffman Joint Encoding
Author_Institution :
Sch. of Software Eng., East China Jiao tong Univ., Nanchang, China
Abstract :
Embedded zero tree wavelet coding (EZW) is an effective image coding algorithm, Study on the output stream of P, N, T, Z symbol, they are appeared with inequality probability. In order to reduce the desired number of digits used in coding, this paper proposes an EZW and Huffman joint encoding algorithm. The experimental results shows, compared with the independent EZW algorithm, the joint encoding algorithm can improve the efficiency of image compression and coding.
Keywords :
Huffman codes; data compression; image coding; probability; wavelet transforms; EZW; Huffman joint encoding; embedded zero tree wavelet coding; image compression; image encoding algorithm; inequality probability; Decoding; Encoding; Image coding; Joints; Probability; Wavelet coefficients; EZW; Joint coding; coding efficiency;
Conference_Titel :
P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2014 Ninth International Conference on
Conference_Location :
Guangdong
DOI :
10.1109/3PGCIC.2014.64