Title :
Performance analysis of wavelet maxima mapping quantisation of wavelet image lowpass subband
Author :
Wooi, Matthew Teow Yok
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 quantisation 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 coding; low-pass filters; quantisation (signal); statistical analysis; wavelet transforms; WMMQ; empirical analysis; image background luminosity; image contrast; image spatial information; image visibility; quantisation stepsize; statistical measurement; wavelet image lowpass subband; wavelet maxima mapping quantisation; wavelet oriented scalar quantisation method; wavelet transform; Discrete wavelet transforms; Histograms; Image coding; Quantization (signal); Signal processing algorithms; Wavelet analysis; Discrete Wavelet Transform; Wavelet Image Coding; Wavelet Lowpass Subband Quantisation;
Conference_Titel :
Signal Processing and its Applications (CSPA), 2013 IEEE 9th International Colloquium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-5608-4
DOI :
10.1109/CSPA.2013.6530026
