Title :
High compression ratio image compression
Author :
Zhong, Sheng ; Shi, Qing-Yun ; Cheng, Min-Teh
Author_Institution :
Dept. of Math., Peking Univ., Beijing, China
Abstract :
An image compression method is proposed. It makes use of the wavelet transform (WT) with better frequency localization and the adaptive hierarchical vector quantization (AHVQ) technique. The WT provides a multifrequency channel representation for the image from which proper coding methods can be drawn. The AHVQ technique lowers the bit rate significantly while causing no extra distortion and little extra computation. Experimental results with compression ratios of up to 100: 1 are given
Keywords :
adaptive codes; image coding; transform coding; vector quantisation; wavelet transforms; AHVQ technique; adaptive hierarchical vector quantization; bit rate; compression ratio; frequency localization; image compression; multifrequency channel representation; wavelet transform; Discrete wavelet transforms; Filters; Frequency; Image coding; Image storage; Multiresolution analysis; Pixel; Visual system; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393711