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Paper Abstract and Keywords
Presentation 2012-06-11 16:00
Quantification of blurred image
Hiroyuki Hase (Fukui univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Human visual sense has two aspects in our feeling for blurred image, that is, one is the amount of blur depending on object size, the other is the amount of blur independent of the object size. In the former for example, when the image size becomes larger, we feel smaller amount blur. The quantitative evaluation based on entropy for blurred images is proposed in this paper. The author calls this metric “variation entropy”. This metric has two kinds of aspects that coincide with the human visual sense. The first is the absolute evaluation of blur, and the second is the relative evaluation of blur. The former can be quantified by “variation entropy for a unit boundary length (or L-type variation entropy: )”, which is dependent on resolution, and the latter can be quantified by “variation entropy for a unit area(or A-type variation entropy: )”, which is independent of resolution. These two metrics have complementary properties. Last, two variation entropies are applied to the standard kanji character database, and then the strong relation between variation entropy and accuracy of recognition is discussed.
Keyword (in Japanese) (See Japanese page) 
(in English) blurred image / variation entropy / relative evaluation / absolute evaluation / / / /  
Reference Info. ITE Tech. Rep., vol. 36, no. 21, ME2012-85, pp. 21-24, June 2012.
Paper # ME2012-85 
Date of Issue 2012-06-04 (IST, ME) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee ME IST  
Conference Date 2012-06-11 - 2012-06-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanazawa Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2012-06-ME-IST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Quantification of blurred image 
Sub Title (in English)  
Keyword(1) blurred image  
Keyword(2) variation entropy  
Keyword(3) relative evaluation  
Keyword(4) absolute evaluation  
1st Author's Name Hiroyuki Hase  
1st Author's Affiliation University of Fukui (Fukui univ.)
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Date Time 2012-06-11 16:00:00 
Presentation Time 30 
Registration for ME 
Paper # ITE-IST2012-34,ITE-ME2012-85 
Volume (vol) ITE-36 
Number (no) no.21 
Page pp.21-24 
#Pages ITE-4 
Date of Issue ITE-IST-2012-06-04,ITE-ME-2012-06-04 

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