Title :
Boundary matching detection for progressive transmission of VQ indices over noisy channels
Author :
Zeng, W.J. ; Huang, Y.F.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
fDate :
30 May-2 Jun 1994
Abstract :
An important issue associated with employing vector quantization (VQ) for image coding is that of reliability regarding the actual performance in the presence of channel noise. This paper presents a novel, approach to addressing such issues. The novelty of the proposed approach is that it renders much better reconstruction image quality with greatly reduced complexity, comparing to existing schemes. The proposed approach takes advantages of the spatial contiguity property of images, instead of treating the transmitted data as general information data like many other joint source-channel coding schemes do
Keywords :
image coding; image reconstruction; vector quantisation; VQ indices; boundary matching detection; channel noise; image coding; noisy channels; progressive transmission; reconstruction image quality; spatial contiguity property; vector quantization; Channel coding; Detectors; Error analysis; Error correction; Image coding; Image communication; Image quality; Image reconstruction; Rendering (computer graphics); Vector quantization;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409155
