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Real-Time Non-Local Means Image Denoising Algorithm Based on Local Binary Descriptor
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Real-Time Non-Local Means Image Denoising Algorithm Based on Local Binary Descriptor

Vol. 10, No. 2, February 28, 2016
10.3837/tiis.2016.02.021, Download Paper (Free):

Abstract

In this paper, a speed-up technique for the non-local means (NLM) image denoising method based on local binary descriptor (LBD) is proposed. In the NLM, most of the computation time is spent on searching for non-local similar patches in the search window. The local binary descriptor which represents the structure of patch as binary strings is employed to speed up the search process in the NLM. The descriptor allows for a fast and accurate preselection of non-local similar patches by bitwise operations. Using this approach, a tradeoff between time-saving and noise removal can be obtained. Simulations exhibit that despite being principally constructed for speed, the proposed algorithm outperforms in terms of denoising quality as well. Furthermore, a parallel implementation on GPU brings NLM-LBD to real-time image denoising.


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Cite this article

[IEEE Style]
H. Yu and A. Li, "Real-Time Non-Local Means Image Denoising Algorithm Based on Local Binary Descriptor," KSII Transactions on Internet and Information Systems, vol. 10, no. 2, pp. 825-836, 2016. DOI: 10.3837/tiis.2016.02.021.

[ACM Style]
Hancheng Yu and Aiting Li. 2016. Real-Time Non-Local Means Image Denoising Algorithm Based on Local Binary Descriptor. KSII Transactions on Internet and Information Systems, 10, 2, (2016), 825-836. DOI: 10.3837/tiis.2016.02.021.