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长春光学精密机械与物... [2]
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会议论文 [2]
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2012 [1]
2011 [1]
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内容类型:会议论文
专题:长春光学精密机械与物理研究所
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Color filtering method for CFA images based on gradient (EI CONFERENCE)
会议论文
International Conference on Communication Systems and Network Technologies, CSNT 2012, May 11, 2012 - May 13, 2012, Rajkot, Gujrat, India
Sun H.
;
Wang Y.
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浏览/下载:23/0
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提交时间:2013/03/25
Single-sensor digital cameras capture image by covering the sensor surface with a color filter array(CFA) such that each sensor pixel only samples one of three primary color values
three color is R(red)
G(green) and B(blue). To render a full-color image
need an interpolation process commonly referred to as CFA demosaicking
is required to estimate the other two contributions for producing a full-color image. But
the noise in imaging sensors not only corrupts the color filter array
at the same time introduces artifacts during the color interpolation step and influence quality of images. In order to acquire high quality full-color images
adopt a sort of viable and effective interpolation algorithm based on gradient
at the time of removing the noise
reserve image border and detail information clearly. 2012 IEEE.
Study on supper resolution reconstruction based on staggered arrays (EI CONFERENCE)
会议论文
2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China
Yuan Z.
;
Xing Z.
;
Guang J.
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浏览/下载:14/0
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提交时间:2013/03/25
The image resolution can be improved without increasing the requirement to optical imaging systems' parameters and decreasing the size of CCD pixel by staggered arrays technology
which arranges several CCDs in a specific mode. In this paper
an image super resolution method of improving the image resolution for 1.5 times both in two directions by 4 linear arrays staggered based on this technology is presented
which avoids the large computation in a single time by use of circulation method. This method is proved effective by the digital simulation
and a simulated experiment platform is constructed to test its feasibility. The image resolution is improved for 1.42 times of the unreconstructed image according to the imaging experiment of resolution chart
which is closed to 1.5 times in ideal case. And also
the reconstructed and unreconstructed images are evaluated by the image information entropy
which proves that the reconstructed image contains more information. 2011 IEEE.
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