Presentation | 2012-03-30 Quantification of Blurred Images and Its Applications Hiroyuki HASE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Quantitative evaluation based on entropy for blurred images is introduced in this paper. We call 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 (L-type V.E.:H^L)", which is dependent on resolution, and the latter can be quantified by "variation entropy for a unit area (A-type V.E.: H^A)", 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. The tendency of writing skills for grades is evaluated by applying the metric to a database collected from school children. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | blurred image / quantification of blur / character database |
Paper # | PRMU2011-276,HIP2011-104 |
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Committee | PRMU |
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Conference Date | 2012/3/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Quantification of Blurred Images and Its Applications |
Sub Title (in English) | |
Keyword(1) | blurred image |
Keyword(2) | quantification of blur |
Keyword(3) | character database |
1st Author's Name | Hiroyuki HASE |
1st Author's Affiliation | Faculty of Engineering, University of Fukui() |
Date | 2012-03-30 |
Paper # | PRMU2011-276,HIP2011-104 |
Volume (vol) | vol.111 |
Number (no) | 499 |
Page | pp.pp.- |
#Pages | 6 |
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