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

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 il...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 1995-08, Vol.3 (3), p.253-259
Main Authors: Wen, Kuei-Ann, Lu, Chung-Yen, Tsai, Ming-Chang
Format: Article
Language:English
Subjects:
Applied sciences
Codecs
Distortion measurement
Exact sciences and technology
Frequency
Fuzzy control
Humans
Image coding
Image processing
Image quality
Information, signal and communications theory
Lighting
Signal processing
Signal to noise ratio
Telecommunications and information theory
Visual system
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Summary: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.< >
ISSN:1063-6706
1941-0034
DOI:10.1109/91.413231