Title :
Comparison between several adaptive search vector quantization schemes and JPEG standard for image compression
Author :
Ghafourian, M.A. ; Chien-Min Huang
Author_Institution :
Dept. of Electr. Eng., Utah State Univ., Logan, UT, USA
Abstract :
This paper introduces an adaptive search vector quantization (VQ) algorithm, hierarchical adaptive search VQ (HASVQ) and compares its performance against several previously proposed adaptive search image compression algorithms. These algorithms are: the JPEG standard, adaptive tree search vector quantization (ATSVQ), multi-stage adaptive search vector quantization (MASVQ). The bit-rate examined is from 0.625 to 1.25 bits per pixel (bpp). The results indicate that HASVQ outperforms all the other algorithms over the entire range of bit-rates examined. For higher bit-rates MASVQ performs next to the HASVQ algorithm and is, in-turn, followed by the JPEG standard. ATSVQ performs well at lower bit-rates, however its performance at higher bit-rates is suppressed by not having an adequate codebook size.<>
Keywords :
adaptive signal processing; code standards; image coding; search problems; telecommunication standards; vector quantisation; ATSVQ; HASVQ; JPEG standard; MASVQ; VQ algorithm; adaptive search image compression algorithms; adaptive search vector quantization; adaptive tree search vector quantization; bit rates; codebook size; hierarchical adaptive search VQ; multi-stage adaptive search vector quantization; performance; Image coding; Transform coding; Vector quantization;
Journal_Title :
Communications, IEEE Transactions on