Title :
Wavelet based image coding using adaptive VQ
Author :
Voukelatos, Stathis P. ; Soraghan, John J.
Author_Institution :
Signal Process. Div., Strathclyde Univ., Glasgow, UK
Abstract :
Multiresolution based coding schemes have received significant attention in the field of image compression due to their advantages over standard block transform based coders. A novel multiresolution adaptive VQ (MRAVQ) still image codec is presented. A biorthogonal wavelet transform is applied on the input image to generate a number of subbands. The wavelet coefficients are coded using an adaptive VQ scheme combined with dynamic bit allocation based on marginal analysis. By taking into account the frequency response of the Human Visual System (HVS) in the design of the subband vector quantizers, the subjective quality of the reconstructed images is shown to be improved. A performance comparison with JPEG is presented
Keywords :
adaptive signal processing; codecs; image coding; image resolution; transform coding; vector quantisation; visual perception; wavelet transforms; JPEG; biorthogonal wavelet transform; block transform based coders; dynamic bit allocation; frequency response; human visual system; image compression; image reconstruction; input image; marginal analysis; multiresolution adaptive VQ; performance; subband vector quantizers; subjective quality; wavelet based image coding; wavelet coefficients; Bit rate; Code standards; Codecs; Frequency response; Humans; Image coding; Image generation; Image resolution; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location :
London
Print_ISBN :
0-7803-3336-5
DOI :
10.1109/GLOCOM.1996.591889
