DocumentCode
3299038
Title
Blur detection in image sequences recorded by a wearable camera
Author
Li, Zhen ; Wei, Zhiqiang ; Sclabassi, Robert J. ; Jia, Wenyan ; Sun, Mingui
Author_Institution
Dept. of Comput. Sci., Ocean Univ. of China, Qingdao, China
fYear
2011
fDate
1-3 April 2011
Firstpage
1
Lastpage
2
Abstract
A new method based on the Discrete Cosine Transform (DCT) and the Otsu method for blur detection in image sequences is proposed in this paper. In the first step, the standard deviation (STD) and the DCT coefficients are utilized to detect blurred and homogeneous areas in each image. Then, the Otsu method is used to calculate an adaptive threshold in each segment of the image sequence. Our experiments illustrate that the proposed method is robust and effective.
Keywords
cameras; discrete cosine transforms; image sequences; medical image processing; DCT coefficients; Discrete Cosine Transform; Otsu method; blur detection; image sequences; standard deviation; wearable camera; Cameras; Discrete cosine transforms; Frequency domain analysis; Image segmentation; Image sequences; Pixel; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference (NEBEC), 2011 IEEE 37th Annual Northeast
Conference_Location
Troy, NY
ISSN
2160-7001
Print_ISBN
978-1-61284-827-3
Type
conf
DOI
10.1109/NEBC.2011.5778629
Filename
5778629
Link To Document