Title :
Interpolative BTC image coding
Author :
Zeng, B. ; Neuvo, Y. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Abstract :
Two interpolative block truncation coding (BTC) schemes with vector quantization (VQ) and median filters as the interpolator are proposed. The first scheme is based on quincunx subsampling and the second one on every-other-row-and-every-other-column subsampling. Compared to the standard BTC, the new schemes yield a significant reduction in bit rate, only a small degradation in quality, and better channel error resisting capabilities. Moreover, the methods are shown to outperform the BTC schemes with pure VQ at the same bit rate and require minimal computations for the interpolation
Keywords :
filtering and prediction theory; image coding; interpolation; vector quantisation; BTC; bit rate reduction; channel error resisting capabilities; every-other-row-and-every-other-column subsampling; image coding; interpolative block truncation coding; median filters; quincunx subsampling; vector quantization; Bit rate; Degradation; Filters; Image coding; Image communication; Image reconstruction; Interpolation; Signal processing; Signal processing algorithms; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226168
