Computer Science ›› 2015, Vol. 42 ›› Issue (5): 277-280.doi: 10.11896/j.issn.1002-137X.2015.05.056

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Novel Denosing Model and its Application for Images Corrupted by Different Types Noises

LUO Zhi-hong and FENG Guo-can   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Due to limitation of traditional variational models for denosing ability,a new variational denosing model for images corrupted by various noise was proposed.Firstly,the fitting terms are fused in the presented model by introducing the parameters,and the benefits of three models are integrated to improve the denoising ability.And the solution can be obtained by applying additive operator splitting (AOS) numerical algorithm.The experimental results demonstrate that the proposed model is effective for different types of noises.Lastly the proof on the existence of solution of the model was given.

Key words: Image denoising,Variational model,AOS algorithm

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