Proceedings Paper
Robust local restoration of space-variant blur image| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper, we propose a space variant image restoration method where the each different local regions of a given image are de-blurred by each different estimated de-convolution filter locally. The depth of each local blocks are estimated roughly on the optical module representing different indices of refraction for different wavelengths of light. Following the depth, each different region of an image is restored based on the sharpest channel among 3 channels (Red, Green, Blue). Then, in order to prevent discontinuities between the differently restored image regions, we use the piecewise linear interpolation on overlapping regions. Also, practically, this method is applied to 3Mega camera module in order to confirm the effect of proposed algorithm.
Paper Details
Date Published: 3 March 2008
PDF: 14 pages
Proc. SPIE 6817, Digital Photography IV, 68170S (3 March 2008); doi: 10.1117/12.766456
Published in SPIE Proceedings Vol. 6817:
Digital Photography IV
Jeffrey M. DiCarlo; Brian G. Rodricks, Editor(s)
PDF: 14 pages
Proc. SPIE 6817, Digital Photography IV, 68170S (3 March 2008); doi: 10.1117/12.766456
Show Author Affiliations
Jaeguyn Lim, Samsung Advanced Institute of Technology (South Korea)
Jooyoung Kang, Samsung Advanced Institute of Technology (South Korea)
Jooyoung Kang, Samsung Advanced Institute of Technology (South Korea)
Hyunwook Ok, Samsung Advanced Institute of Technology (South Korea)
Published in SPIE Proceedings Vol. 6817:
Digital Photography IV
Jeffrey M. DiCarlo; Brian G. Rodricks, Editor(s)
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