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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 1999/12/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | ME and Bio Cybernetics (MBE) |
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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 |
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