Title :
Psychophysically derived quantisation model for efficient DWT image coding
Author :
Ferguson, K.L. ; Allinson, N.M.
Author_Institution :
VICS Ltd., Manchester, UK
fDate :
2/1/2002 12:00:00 AM
Abstract :
An efficient method for the optimum quantisation of the luminance and chrominance components for discrete wavelet transform (DWT) still image coding, based on current psychophysical evidence, is described. Its practical application to image compression is presented. This new approach is further supported by experimental work which compares perceived DWT image quality with conventional JPEG-encoding, that is block-based discrete cosine transform (DCT) coding, on the basis of quantisation distortion
Keywords :
brightness; data compression; discrete cosine transforms; discrete wavelet transforms; filtering theory; image coding; image colour analysis; image reconstruction; quantisation (signal); transform coding; DWT filter quantisation; JPEG-encoding; block-based DCT coding; block-based discrete cosine transform; chrominance components; discrete wavelet transform; efficient DWT image coding; image compression; inverse DWT quantisation errors; luminance components; optimum quantisation; psychophysically derived quantisation model; quantisation distortion; reconstruction artefacts; still image coding;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20020073
