DocumentCode
1695556
Title
Wavelet maxima mapping quantisation of image lowpass subband and its statistical measurements
Author
Teow, Matthew Y. W.
Author_Institution
Dept. of Electr. & Electron. Eng., KDU Univ. Coll., Malaysia
fYear
2012
Firstpage
360
Lastpage
365
Abstract
A new wavelet oriented scalar quantisation method called wavelet maxima mapping quantisation (WMMQ) for wavelet transformed image lowpass subband has been proposed. The WMMQ is an adaptive algorithm that exploits image spatial information to refine the quantisation stepsize for a wavelet transformed image lowpass subband. Empirical analysis and statistical measurements have shown substantial improvement can be obtained in image background luminosity (DC magnitude), image contrast and image visibility.
Keywords
image processing; statistical analysis; wavelet transforms; WMMQ method; adaptive algorithm; image background luminosity; image contrast; image lowpass subband; image visibility; quantisation stepsize; spatial information; statistical measurements; wavelet maxima mapping quantisation method; wavelet oriented scalar quantisation method; wavelet transformed image lowpass subband; Discrete Wavelet Transform; Wavelet Image Coding; Wavelet Lowpass Subband Quantisation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference on
Conference_Location
Penang
Print_ISBN
978-1-4673-3142-5
Type
conf
DOI
10.1109/ICCSCE.2012.6487171
Filename
6487171
Link To Document