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

Volume

5

fYear

1992

fDate

10-13 May 1992

Firstpage

2300

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISCAS.1992.230499

Filename

230499