Grey relational analysis based adaptive smoothing parameter for non-local means image denoising

Verma, Rajiv; Pandey, Rajoo

doi:10.1007/s11042-018-5828-5

Cited by 7 publications

(2 citation statements)

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“…By definition, systems with fully known, partially known, and fully unknown information are referred to as white, gray, and black systems, respectively (Deng, 1982; Deng, 1989; Kuo et al, 2008; Verma and Pandey, 2018). The gray theory was proposed by Deng (Deng, 1982; Deng, 1989), which included gray relational analysis (GRA).…”

Section: Methodsmentioning

confidence: 99%

Illumination/Darkness-Induced Changes in Leaf Surface Potential Linked With Kinetics of Ion Fluxes

Yang

Wang

et al. 2019

Front. Plant Sci.

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A highly reproducible plant electrical signal–light-induced bioelectrogenesis (LIB) was obtained by means of periodic illumination/darkness stimulation of broad bean (Vicia faba L.) leaves. By stimulating the same position of the same leaf with different concentrations of NaCl, we observed that the amplitude and waveform of the LIB was correlated with the intensity of stimulation. This method allowed us to link dynamic ion fluxes induced by periodic illumination/darkness to salt stress. The self-referencing ion electrode technique was used to explore the ionic mechanisms of the LIB. Fluxes of H+, Ca2+, K+, and Cl− showed periodic changes under periodic illumination/darkness before and after 50 mM NaCl stimulation. Gray relational analysis was used to analyze correlations between each of these ions and LIB. The results showed that different ions are involved in surface potential changes at different stages under periodic illumination/darkness. The gray relational grade reflected the contribution of each ion to the change in surface potential at a certain time period. The ion fluxes data obtained under periodic illumination/darkness stimulation will contribute to the future development of a dynamic model for interpretation of electrophysiological events in plant cells.

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Section: Methodsmentioning

confidence: 99%

Illumination/Darkness-Induced Changes in Leaf Surface Potential Linked With Kinetics of Ion Fluxes

Yang

Wang

et al. 2019

Front. Plant Sci.

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“…In [1], Buades suggested that the parameter is proportional to the noise SD σ. Zeng et al [15] used structure tensors according to region properties to adjust the smoothing parameter, which is sensitive to high noise levels. Verma et al [16] proposed a gray relational analysis-based adaptive smoothing parameter in every pixel, assuming the signal is smooth. Panigrahi et al [17] considered that many delicate structures and small details are as oscillatory as noise; thus, they introduced three curvelet scales to denoise both the smooth and oscillatory noise.…”

Section: Introductionmentioning

confidence: 99%

A Content-Aware Non-Local Means Method for Image Denoising

Fang

2022

Electronics

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Parameter setting and information redundancy are essential issues for the non-local means (NLM) algorithm. This paper introduces a new factor based on the Hessian matrix to adapt the smoothing parameter. Then, a strategy is proposed to implement the NLM by representing patches in terms of features, which uses the 2D histogram and summed-area table. Compared with other methods, the metric for patch similarity in this paper is based on statistical features of patches instead of Euclidean distance. More importantly, not many predefined thresholds are needed. Experimental results show that the proposed algorithm obtains better visual quality and numerical results, especially for images with rich contents and high noise.

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An Improved Weighted Average Reprojection Image Denoising Method

Alsurayhi

El-Sakka

2019

Lecture Notes in Computer Science

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Grey relational analysis based adaptive smoothing parameter for non-local means image denoising

Cited by 7 publications

References 32 publications

Illumination/Darkness-Induced Changes in Leaf Surface Potential Linked With Kinetics of Ion Fluxes

Illumination/Darkness-Induced Changes in Leaf Surface Potential Linked With Kinetics of Ion Fluxes

A Content-Aware Non-Local Means Method for Image Denoising

An Improved Weighted Average Reprojection Image Denoising Method

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