DocumentCode
2245570
Title
Edge Detection on the Bayer Pattern
Author
Chen, Chia-Hsiung ; Chen, Sao-Jie ; Hsiao, Pei-Yung
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei
fYear
2006
fDate
4-7 Dec. 2006
Firstpage
1132
Lastpage
1135
Abstract
This paper describes a novel investigation of edge detection on Bayer-patterned images. Inspired by the color filter array (CFA) interpolation method, we design kernels to perform Gaussian-like smoothing and Laplacian-like edge detection on a Bayer-patterned image. Benefits of using our proposed kernels to process such image source include the computation saving during the interpolation and/or the color space transformation to a full color or grayscale image, and also lower memory requirement on the same time
Keywords
edge detection; image colour analysis; interpolation; smoothing methods; Bayer-patterned images; Gaussian-like smoothing; Laplacian-like edge detection; color filter array interpolation method; color space transformation; image source; Color; Digital cameras; Filters; Image edge detection; Image sensors; Interpolation; Kernel; Sensor arrays; Smoothing methods; Space technology; Bayer Pattern; Color Filter Array (CFA); Edge Detection; Gaussian Smoothing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
Conference_Location
Singapore
Print_ISBN
1-4244-0387-1
Type
conf
DOI
10.1109/APCCAS.2006.342321
Filename
4145597
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