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Image deblurring with blur kernel estimation in RGB channels

Authors: Xianqiu Xu; Hongqing Liu; Yong Li 0023; Yi Zhou 0014;

Image deblurring with blur kernel estimation in RGB channels

Abstract

Image deblurring aims to recover the clear image from the damaged image. The most existing blind image de-blurring approaches only consider estimating the blur kernel in the gray domain. In fact, for the color image produced by the digital camera, the blur effects for each color channel are usually different. This paper proposes an new approach to acquire more precise blur kernels to reconstruct image by estimating blur kernels through RGB channels independently instead of just using the gray domain. The numerical results demonstrate that proposed approach can achieve better performance compared with other state of the art methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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