Title :
Wavelet maxima mapping quantiser for image lowpass approximation subband coding
Author :
Teow, M. ; Lee, Sze-Wei ; Chai, I.
Author_Institution :
Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia
fDate :
2/20/2003 12:00:00 AM
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 lowpass approximation subband magnitude is proposed. Empirical analysis shows that substantial peak signal-to-noise ratio gain can be obtained at relatively low bit rate cost.
Keywords :
adaptive codes; discrete wavelet transforms; image coding; image reconstruction; quantisation (signal); transform coding; adaptive arithmetic coding; discrete wavelet transform; empirical analysis; image background luminosity; image lowpass approximation subband coding; lowpass approximation subband magnitude; peak signal-to-noise ratio gain; quantisation index; reconstructed image fidelity; spatially adaptive wavelet maxima map; wavelet maxima mapping quantiser; wavelet oriented scalar quantisation method;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20030245
