Presentation 1999/12/11
Estimation of Rate-Distortion Function of Visual and Auditory System Based on Non-linear Distortion Perceptual Model
Ikuto NAKAI, Yasunari YOKOTA,
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Abstract(in English) In sensory system, such as visual and auditory system, an information from the outside is decomposed to some signals and sent by each different channels to the brain. Permitted amount of distortion exists as an upper limit for recognizing the outside and sensory system constructs optimal coder and channels under the condition. Therefore, estimating rate-distortion function of sensory system is important. In this paper, we proposed a transmission model in the sensory system which include a non-linear distortion perceptual model. We then estimate the model parameters of non-linear distortion perceptual model on perceptual threshold through psychological experiments and show that our model has higher identification precision than linear distortion perceptual model. Furthermore, we estimated the rate-distortion function on the perceptual threshold using the model and apply to an estimation problem of optimal quantization width in the orthogonal transform coder for images or sounds.
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Keyword(in English) non-linear distortion perceptual model / perception threshold of distortion / orthogonal transform / most quantization step
Paper # MBE99-123
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Committee MBE
Conference Date 1999/12/11(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of Rate-Distortion Function of Visual and Auditory System Based on Non-linear Distortion Perceptual Model
Sub Title (in English)
Keyword(1) non-linear distortion perceptual model
Keyword(2) perception threshold of distortion
Keyword(3) orthogonal transform
Keyword(4) most quantization step
1st Author's Name Ikuto NAKAI
1st Author's Affiliation Electronics and Computer Engineering Division, Graduate School of Engineering, Gifu University()
2nd Author's Name Yasunari YOKOTA
2nd Author's Affiliation Department of Information Science, Faculty of Engineering, Gifu University
Date 1999/12/11
Paper # MBE99-123
Volume (vol) vol.99
Number (no) 493
Page pp.pp.-
#Pages 7
Date of Issue