Paper
3 March 2008 Robust local restoration of space-variant blur image
Author Affiliations +
Proceedings Volume 6817, Digital Photography IV; 68170S (2008) https://doi.org/10.1117/12.766456
Event: Electronic Imaging, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jaeguyn Lim, Jooyoung Kang, and Hyunwook Ok "Robust local restoration of space-variant blur image", Proc. SPIE 6817, Digital Photography IV, 68170S (3 March 2008); https://doi.org/10.1117/12.766456
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CITATIONS
Cited by 3 scholarly publications and 4 patents.
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KEYWORDS
Image restoration

Point spread functions

Modulation transfer functions

Image sensors

Image filtering

Image processing

Filtering (signal processing)

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