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Paper Abstract and Keywords
Presentation 2016-02-20 15:25
Estimation method of mosquito noise in JPEG image based on cepstrum analysis
Kei Satou, Masashi Kameda (Iwate Prefectural Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) JPEG images include a visual distortion which is called the mosquito noise around edge region. It is difficult to estimate the mosquito noise from a given encoded image, since the visual effect is dependent with the characteristics of each input image. This paper presents an estimation method of the mosquito noise based on the cepstrum analysis. It is seen in our experimental results that the period and the intensity are relationship with the peak of the cepstrum coefficients.
Keyword (in Japanese) (See Japanese page) 
(in English) Mosquito noise / Noise detection / Cepstrum analysis / JPEG coding / / / /  
Reference Info. ITE Tech. Rep., vol. 40, no. 5, ME2016-27, pp. 101-104, Feb. 2016.
Paper # ME2016-27 
Date of Issue 2016-02-13 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee ME  
Conference Date 2016-02-20 - 2016-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanto Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2016-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation method of mosquito noise in JPEG image based on cepstrum analysis 
Sub Title (in English)  
Keyword(1) Mosquito noise  
Keyword(2) Noise detection  
Keyword(3) Cepstrum analysis  
Keyword(4) JPEG coding  
1st Author's Name Kei Satou  
1st Author's Affiliation Iwate Prefectural University (Iwate Prefectural Univ.)
2nd Author's Name Masashi Kameda  
2nd Author's Affiliation Iwate Prefectural University (Iwate Prefectural Univ.)
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Speaker Author-1 
Date Time 2016-02-20 15:25:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # ME2016-27 
Volume (vol) vol.40 
Number (no) no.5 
Page pp.101-104 
Date of Issue 2016-02-13 (ME) 

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