Nonlocal Means Method Based on Multichannel Joint Estimation for Color Image Denosing
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    Abstract:

    A nonlocal means method based on multichannel joint estimation for color image denosing is proposed, including two steps as color channel combination filtering and color channel fusion filtering. In the step of color channel combination filtering, the noisy color image is denoised by the classical nonlocal means of color(NLMC), from which the pre-denoised image is obtained as the input of color channel fusion filtering step. In the step of color channel fusion filtering, the pre-denoised image is denoised once more by generalized multichannel nonlocal means(NLM), and the similarity between the high frequency components of the pre-denoised image′s RGB channels is used in the denosing process at the same time. Experimental results demonstrate that the proposed method produces competitive results for both quantitative and visual comparisons with other classical color image denosing algorithms.

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Wang Xiang, Gan Zongliang, Chen Changhong, Liu Feng. Nonlocal Means Method Based on Multichannel Joint Estimation for Color Image Denosing[J].,2017,32(6):1187-1197.

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  • Received:
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  • Online: April 10,2018
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