The transform image codec based on fuzzy control and human visual system

Author

Wen, Kuei-Ann ; Lu, Chung-Yen ; Tsai, Ming-Chang

Author_Institution

Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

3

Issue

3

fYear

1995

fDate

8/1/1995 12:00:00 AM

Firstpage

253

Lastpage

259

Abstract

A novel processing scheme for gray level image compression based on the human visual system (HVS) and fuzzy control is proposed. The spatial model of the threshold vision that incorporates the masking processes takes account of two major sensitivities of the human visual system, namely background illumination levels and spatial frequency sensitivities. The distortion measures use common sense fuzzy rules for image quality prediction. The human visual models have been successfully applied in image compression. By the addition of the visual model, performance of these systems has a visible improvement of subject quality depending on visual perception. The processed image performs both improved compression ratio as well as improved SNR (signal to noise ratio) in compression to the standardized still image compression technique, i.e., the JPEG

Keywords

data compression; fuzzy control; image coding; transforms; visual perception; JPEG; background illumination levels; common sense fuzzy rules; compression ratio; distortion measures; fuzzy control; gray level image compression; human visual system; image quality prediction; masking processes; spatial frequency sensitivities; spatial model; subject quality; threshold vision; transform image codec; visual perception; Codecs; Distortion measurement; Frequency; Fuzzy control; Humans; Image coding; Image quality; Lighting; Signal to noise ratio; Visual system;

fLanguage

English

Journal_Title

Fuzzy Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-6706

Type

jour

DOI

10.1109/91.413231

Filename

413231