Research of Blurred Face Image Detection Based on DCT and Edge Detection Algorithm

Multimedia has been widely used on the mobile platform. Due to its mobility and instability,the mobile terminal inevitably produces some blurred pictures (especially when shooting human faces). Hence, if these blurred and normal images are well classified and separated, it will be significant to imp...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 344; pp. 226 - 229
Main Authors Meng, Peng Fei, Wang, Kong Qiao, Wang, Wen Dong
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.07.2013
Subjects
Edge Detection
DCT
Blurred Face
Contrast
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Summary:Multimedia has been widely used on the mobile platform. Due to its mobility and instability,the mobile terminal inevitably produces some blurred pictures (especially when shooting human faces). Hence, if these blurred and normal images are well classified and separated, it will be significant to improve the browsing efficiency. This paper focuses onresearch of two popular blur detection algorithms, DCT (Discrete Cosine Transform) and edge detection algorithm. It also offers the implementation of the blurred face image detection and classification system based on these two algorithms. At last it contrasts these two algorithms and draws a conclusion.
Bibliography:Selected, peer reviewed papers from the 2013 International Conference on Applied Mechanics, Mechatronics and Intelligent System (AMMIS 2013), April 19-21, 2013, Changsha, China
ISBN:9783037857625
3037857625
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.344.226