Title :
Wavelet transformation image coding based on the human visual specificity
Author :
Ruan, Qiuqi ; Weimin Feng
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
A new method based on wavelet theory has been developed for low bit rate coding of image. The wavelet transform results in a logarithmic division of frequency space which can be justified by relevance to human visual system models and allows each frequency band to be efficiently coded. In order to achieve low bit rate, two new coding schemes respectively based on scalar quantisation (SQ) and vector quantisation (VQ) have been proposed. The comparison with other previously published results indicates that these tow new methods are competitive
Keywords :
image coding; transform coding; vector quantisation; wavelet transforms; frequency space; human visual specificity; human visual system models; image coding; logarithmic division; low bit rate coding; scalar quantisation; vector quantisation; wavelet transform; Bit rate; Eyes; Frequency conversion; Humans; Image analysis; Image coding; Optical filters; Optical signal processing; Signal analysis; Signal resolution;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566342
