DocumentCode
3519262
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
Volume
2
fYear
1996
fDate
14-18 Oct 1996
Firstpage
1195
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.566342
Filename
566342
Link To Document