Presentation 1996/10/18
Mathematical Model of Lateral Inhibition and Light/Dark Adaptation Mechanisms : Computational Physiology and its Application to Image Processing
Toshikazu Kato, Takashi Sakamoto, Yuichi Kobayashi,
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Abstract(in English) This paper proposes a non-linear transformation model for integrating lateral inhibition and light/dark adaptation mechanisms. The transformation has the features; (a) it gives scale invariant graphical feature on the wide range of input stimuli, (b) it adjusts a non-linear S-potential response to quasi-linear response, and (c) it integrates a local and a global phenomena of physiological process in adaptation and feature extraction. This paper gives practical algorithms for gray image enhancement and scale invariant edge evaluation. Experimental results and discussions are also included in this report.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) lateral inhibition / light/dark adaptation / reverse-S-shape transformation / mean luminance / contrast enhancement / image enhancement
Paper # PRMU96-72
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Committee PRMU
Conference Date 1996/10/18(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Mathematical Model of Lateral Inhibition and Light/Dark Adaptation Mechanisms : Computational Physiology and its Application to Image Processing
Sub Title (in English)
Keyword(1) lateral inhibition
Keyword(2) light/dark adaptation
Keyword(3) reverse-S-shape transformation
Keyword(4) mean luminance
Keyword(5) contrast enhancement
Keyword(6) image enhancement
1st Author's Name Toshikazu Kato
1st Author's Affiliation Electrotechnical Laboratory, AIST, MITI()
2nd Author's Name Takashi Sakamoto
2nd Author's Affiliation Electrotechnical Laboratory, AIST, MITI
3rd Author's Name Yuichi Kobayashi
3rd Author's Affiliation Toppan Printing Co.,Ltd. Technical Researech Institute
Date 1996/10/18
Paper # PRMU96-72
Volume (vol) vol.96
Number (no) 308
Page pp.pp.-
#Pages 8
Date of Issue