吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (01): 184-190.doi: 10.13229/j.cnki.jdxbgxb201401031

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Adaptive technique for image de-noising based on improved intersecting cortical mode

QI Bing, KONG Wei-wei   

  1. Department of Information Engineering, Engineering University of Armed Police Force, Xi'an 710086, China
  • Received:2012-09-12 Online:2014-01-01 Published:2014-01-01

Abstract:

First,the basic classic ICM is analyzed and its structural drawbacks are detected. Second, the proposed ⅡCM is presented, which not only declines the number of parameters required setting, but also constructs the time matrix T to settle the problem of setting the number of iterative times; meanwhile, he transformation from the image spatial information to time information can be realized. Third, the noisy pixels are located uilizing the information provided by the time matrix T in ⅡCM. Finally, the task of efficiently filtering the impulsive noise in the image is completed by the proposed adaptive algorithm for image de-noising based on ⅡCM. Because of only dealing with the polluted pixels and adjusting the size of area window adaptively, the proposed technique has remarkable superiority over other ones in both simulation performance and running efficiency.

Key words: computer application, image de-noising, intersecting cortical model, time matrix

CLC Number: 

  • TP391

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