Computer Science ›› 2014, Vol. 41 ›› Issue (11): 313-316.doi: 10.11896/j.issn.1002-137X.2014.11.062

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Improved Denoising Algorithm Based on Non-regular Area Gaussian Filtering

SI Shao-hui,HU Fu-yuan,GU Ya-jun and XIAN Xue-feng   

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

Abstract: Because traditional Gaussian filter often blurs the edge structure in images,an improved Gaussian filtering algorithm based on non-regular area was proposed in the paper.The algorithm based on Gaussian filtering breaks traditional thought of adopting fixed window,adaptively constructs non-regular Gaussian mask region through analyzing the self-similarity of texture.The rationality of weighted values distributed by Gaussian function is further improved to maintain rich texture as the potential noise or lower similar pixels are rejected in non-regular areas.Experimental results show that the proposed algorithm makes a better balance between enhancing image details and denoising,and is better than traditional Gaussian filtering and other methods.

Key words: Gausian filtering,Non-integer region,Image denoising

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