Computer Science ›› 2018, Vol. 45 ›› Issue (8): 1-6.doi: 10.11896/j.issn.1002-137X.2018.08.001

• ChinaMM 2017 •     Next Articles

Deblurring for Imaging through Simple LensCombining Adaptive Gradient Sparsity and Interchannel Correlation

WANG, Xin-ling FU, Ying HUANG Hua   

  1. School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China
  • Received:2017-10-25 Online:2018-08-29 Published:2018-08-29

Abstract: Due to optical aberrations in imaging optics,the image taken from simple lensessuffers from severe artifacts and blurring.Aiming at this kind of blurring problem,this paper proposed a deblurring method combining adaptive gradient sparsity and interchannel correlation.This method restores every color channel of the blurred images separately through imposing different sparse priors on points in smooth areas and at edges and using interchannel correlation constraint,which uses edge information preserved in some channel to restore another channel.The simulation experiment results show that the proposed method can achieve better restoration in respect of image resolution and visual effect for blurred images through simple lens.

Key words: Adaptive gradient sparsity, Interchannel correlation, Non-blind deconvolution, Optical aberrations

CLC Number: 

  • TP391.41
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