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Paper Abstract and Keywords
Presentation 2020-03-11 16:20
Image filter considered with peripheral vision characteristics with DoG and Gabor functions
Kengo Ito, Suguru Saito (Tokyo Tech)
Abstract (in Japanese) (See Japanese page) 
(in English) For designing information display in public space and road signs, knowing the decrease of the sensitivity in peripheral vision is important. In this paper, we propose a method to visualize the characteristics of peripheral human vision in contrast sensitivity. It recomposes frequency band images extracted from an input image by the convolution with DoG functions, with optimized co- efficients determined by the comparison between contrast sensitivity function and local contrast in frequencies extracted by Gabor functions. Experimental results show that high frequency contrasts not appeared in the input image are reduced, and the pass rates of pixels for each frequency band can be determined more appropriately compared with the previous method.
Keyword (in Japanese) (See Japanese page) 
(in English) contrast sensitivity function / peripheral vision / visualization / / / / /  
Reference Info. ITE Tech. Rep., vol. 44, no. 9, HI2020-58, pp. 31-34, March 2020.
Paper # HI2020-58 
Date of Issue 2020-03-04 (HI, 3DIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee HI 3DMT  
Conference Date 2020-03-11 - 2020-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Kogakuin Univ. Tokyo Urban Tech Tower Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HI 
Conference Code 2020-03-HI-3DIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image filter considered with peripheral vision characteristics with DoG and Gabor functions 
Sub Title (in English)  
Keyword(1) contrast sensitivity function  
Keyword(2) peripheral vision  
Keyword(3) visualization  
1st Author's Name Kengo Ito  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Suguru Saito  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2020-03-11 16:20:00 
Presentation Time 25 minutes 
Registration for HI 
Paper # HI2020-58, 3DIT2020-9 
Volume (vol) vol.44 
Number (no) no.9 
Page pp.31-34 
Date of Issue 2020-03-04 (HI, 3DIT) 

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