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

fYear

2013

fDate

8-10 March 2013

Firstpage

117

Lastpage

122

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CSPA.2013.6530026

Filename

6530026