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
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;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4673-3142-5
DOI :
10.1109/ICCSCE.2012.6487171
