Title :
A new multistage lattice VQ (MLVQ) technique for image compression
Author :
Salleh, M.F.M. ; Soraghan, J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
Abstract :
Lattice vector quantization (LVQ) reduces coding complexity and computation due to its regular structure. In this paper a new multistage LVQ (MLVQ) technique is presented and applied to image compression. The technique concentrates on reducing the quantization error of quantized vectors. Experimental results for standard images using the new MLVQ technique are shown to be better than JPEG2000 and Man´s LVQ based codec. At 0.1 bpp the new MLVQ is 0.17dB higher for image “lena”.
Keywords :
computational complexity; data compression; image coding; vector quantisation; JPEG2000; MLVQ technique; coding computational complexity reduction; image lattice vector quantization; man´s LVQ based codec; multistage lattice VQ technique; quantization error reduction; regular structure; Boats; Image coding; Lattices; Transform coding; Vector quantization; Vectors;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
