Unified lossless and near-lossless color image coding based on adaptive quantization

Author

Nakachi, Takayuki ; Fujii, Tatsuya

Author_Institution

NTT Network Innovation Labs., Yokosuka, Japan

Volume

3

fYear

2000

fDate

2000

Firstpage

303

Abstract

This paper proposes a unified coding algorithm for lossless and near-lossless compression of still color images. The algorithm can control the Peak Signal-to-Noise Ratio (PSNR) of the reconstructed image. Furthermore, the distortion on the RGB plane is suppressed to within the level of ±p, where p is a certain small non-negative integer. In order to control the PSNR of the reconstructed image, an adaptive quantizer is designed on the basis of human visual criteria. Experimental results confirm the effectiveness of the proposed algorithm

Keywords

adaptive signal processing; colour; data compression; decoding; error analysis; image coding; image reconstruction; interference (signal); quantisation (signal); PSNR control; RGB plane distortion suppression; adaptive quantization; colour image coding; human visual criteria; lossless compression; near-lossless compression; peak signal-to-noise ratio; reconstructed image; reconstruction error analysis; still colour images; unified lossless/near-lossless coding; Adaptive control; Color; Humans; Image coding; Image reconstruction; Laboratories; PSNR; Programmable control; Quantization; Technological innovation;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on

Conference_Location

Geneva

Print_ISBN

0-7803-5482-6

Type

conf

DOI

10.1109/ISCAS.2000.856057

Filename

856057