Image coding using adaptive recursive interpolative DPCM with entropy-constrained trellis coded quantization

Author

Gifford, Eric A. ; Hunt, Bobby R. ; Marcellin, Michael W.

Author_Institution

Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA

Volume

v

fYear

1994

fDate

19-22 Apr 1994

Abstract

A predictive image coder having minimal decoder complexity is presented. The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios in the range of the most advanced transform coders

Keywords

adaptive signal processing; differential pulse code modulation; entropy; image classification; image coding; interpolation; prediction theory; quantisation (signal); trellis codes; adaptive classification; adaptive recursive interpolative DPCM; entropy-constrained trellis coded quantization; image coding; minimal decoder complexity; optimal rate allocation; predictive image coder; signal-to-noise ratios; Decoding; Discrete cosine transforms; Image coding; Interpolation; Optical filters; Pixel; Prediction algorithms; Quantization; Signal to noise ratio; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389483

Filename

389483