Title :
An adaptive image coding technique using interpolative mixed VQ
Author :
He, Zhenya ; Zhang, Jihong ; Mao, Yiming
Author_Institution :
Radio Eng. Dept., Southeast Univ., Nanjing, China
Abstract :
The authors developed a new adaptive image coding technique using interpolative mixed vector quantization (VQ) which mixes the 2D discrete cosine transform (DCT) with VQ. A median filter is first used to eliminate fine noise while not smearing the edges. After subsampling, the image is encoded by an adaptive mixed VQ coding scheme. At the receiver, a finite-impulse-response (FIR) median hybrid filter is used to interpolate missing pixels after subsampling. Some simulation results are given. It was found that high-quality coded images were obtained at a bit rate from about 0.25 to 0.5 b.p.p
Keywords :
adaptive filters; discrete cosine transforms; image coding; interpolation; vector quantisation; 2D discrete cosine transform; FIR filter; adaptive image coding; finite-impulse-response; interpolative mixed VQ; median filter; subsampling; vector quantization; Adaptive coding; Adaptive filters; Bit rate; Discrete cosine transforms; Filtering; Finite impulse response filter; Helium; Image analysis; Image coding; Vector quantization;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230499
