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A modified iterative alternating direction minimization algorithm for impulse noise removal in images
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نویسنده
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guo d. ,qu x. ,wu m. ,wu k.
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منبع
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journal of applied mathematics - 2014 - دوره : 2014 - شماره : 0
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چکیده
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Images are often corrupted by impulse noise. in this paper,an alternating direction minimization with continuation algorithm is modified and iteratively used to remove the impulse noise in images by exploring its self-similarity. a patch-based nonlocal operator and sparse representation are married in the l 1 - l 1 optimization model to be solved. simulation results demonstrate that the proposed algorithm outperforms typical denoising methods in terms of preserving edges and textures for both salt-and-pepper noise and random-valued impulse noise. it can be also applied to suppress impulse noise-like artifacts in real mural images. © 2014 di guo et al.
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آدرس
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school of computer and information engineering,xiamen university of technology, China, department of electronic science,xiamen university, China, school of information and control engineering,xi'an university of architecture and technology, China, school of computer and information engineering,xiamen university of technology, China
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Authors
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