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A modified non-local means using bilateral thresholding for image denoising

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Abstract

In non-local means (NLM) method, weight of each pixel in the neighbor centered on the reference noisy pixel plays a different role for performance of NLM for image denoising. The reference noisy pixel is called center pixel. Usually, weight of each pixel including center pixel in the neighbor (neighbor pixel) is computed based on the distance between neighbor pixel and center pixel. This paper proposes a novel weight by studying the recent statistical nearest neighbors distance measurement (SNNDM) and gradient domain filter. The difference of each neighbor pixel including center pixel is considered sufficiently. The proposed weight is called the bilateral thresholding since it is similar to bilateral filtering in form. Test results show that the proposed method can deal with each neighbor pixel differently so that the desired performance is achieved.

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Acknowledgments

This work is partially supported by National Natural Science Foundation of China (Grant No. 61401383), Basic Research Plan of Natural Science in Shaanxi Province (Grant No. 2021JM-518) and Qinglan Talent Program of Xianyang Normal University (Grant No. XSYQL201503).

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  1. Institute of Graphics and Image Processing, Xianyang Normal University, Xianyang, 712000, China

    Xiaobo Zhang

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Zhang, X. A modified non-local means using bilateral thresholding for image denoising. Multimed Tools Appl 83, 7395–7416 (2024). https://doi.org/10.1007/s11042-023-15928-3

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