Adaptive predictive image coding using local characteristics

Author

Hsieh, C.-H. ; Lu, P.C. ; Liou, W.G.

Author_Institution

Dept. of Electr. Eng., Chung Cheng Inst. of Technol., Tao-Yuan, Taiwan

Volume

136

Issue

6

fYear

1989

fDate

12/1/1989 12:00:00 AM

Firstpage

385

Lastpage

390

Abstract

In this method, three coding schemes, namely, mean, subsampling combined with fixed DPCM, and ADPCM/PCM, are used and one of these is chosen adaptively based on the local characteristics of images. The prediction parameters of the 2D linear predictor in the ADPCM/PCM are extracted on a block by block basis using the 2D lattice filtering method. The order update 2D lattice model proposed by Parker and Kayran (1984) is extended into order update and time update recursion for more efficient computation. Simulation results show that the proposed method is effective in reducing the slope overload distortion and the granular noise at low bit rates, and thus it can improve the visual quality of reconstructed images. Other advantages of this method are the low computational burden and the suitability for the VLSI implementation.

Keywords

adaptive filters; encoding; filtering and prediction theory; picture processing; pulse-code modulation; 2D lattice filtering; 2D linear predictor; ADPCM/PCM; DPCM; PCM; VLSI implementation; adaptive differential pulse code modulation; adaptive predictive image coding; differential pulse code modulation; granular noise; local characteristics; low bit rates; order update recursion; picture processing; prediction parameters; reconstructed images; slope overload distortion; time update recursion; visual quality;

fLanguage

English

Journal_Title

Communications, Speech and Vision, IEE Proceedings I

Publisher

iet

ISSN

0956-3776

Type

jour

Filename

268933