DocumentCode
3525911
Title
Image low-pass approximation sub-band quantisation with wavelet maxima mapping quantiser
Author
Teow, Matthew ; Lee, Sze-Wei ; Chai, Ian
Author_Institution
Multimedia Univ., Malaysia
fYear
2003
fDate
7-9 July 2003
Firstpage
302
Lastpage
305
Abstract
A new wavelet-oriented scalar quantisation method, called wavelet maxima mapping quantisation, that uses the spatially adaptive wavelet maxima map to determine the quantisation index for low-pass approximation sub-band magnitude is proposed. An empirical analysis shows that a substantial peak signal-to-noise ratio gain can be obtained at relatively low bit rate cost.
Keywords
approximation theory; discrete wavelet transforms; image processing; optimisation; quantisation (signal); discrete wavelet transform; image processing; low-pass approximation subband magnitude; quantisation index; quantisation losses; scalar quantisation; spatially adaptive wavelet maxima map; visual perceptual fidelity; wavelet maxima mapping quantisation;
fLanguage
English
Publisher
iet
Conference_Titel
Visual Information Engineering, 2003. VIE 2003. International Conference on
ISSN
0537-9989
Print_ISBN
0-85296-757-8
Type
conf
DOI
10.1049/cp:20030547
Filename
1341353
Link To Document