Results 31 to 40 of about 2,678,151 (282)
Recursive non-local means filter for video denoising
EURASIP Journal on Image and Video Processing, 2017 In this paper, we propose a computationally efficient algorithm for video denoising that exploits temporal and spatial redundancy. The proposed method is based on non-local means (NLM).
Redha A. Ali, Russell C. Hardie
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Anisotropic Weighted KS-NLM Filter for Noise Reduction in MRI
IEEE Access, 2020 The topic of denoising magnetic resonance (MR) images is considered in this paper. More in detail, an enhanced Non-Local Means (NLM) filter using the Kolmogorov-Smirnov (KS) distance is proposed. The KS-NLM approach estimates the similarity between image
Bilel Kanoun +5 more
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The validity analysis of the non-local mean filter and a derived novel denoising method
Virtual Reality & Intelligent Hardware, 2023 Image denoising is an important topic in the digital image processing field. This paper theoretically studies the validity of the classical non-local mean filter (NLM) for removing Gaussian noise from a novel statistic perspective.
Xiangyuan Liu, Zhongke Wu, Xingce Wang
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Fast non-local means with size-adaptive search window
The Journal of Engineering, 2016 In this study, the authors present a fast non-local means (NLM) image denoising algorithm with size-adaptive search window. On the basis of the edge gradient and direction of the noisy image, the proposed fast scheme divides all the pixels into ...
Hancheng Yu, Min Tan
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Fractional Total Variation Algorithm Based on Improved Non-local Means [PDF]
Jisuanji gongcheng, 2019 The traditional total variation algorithm is mostly affected by the staircase effect in the variation process,so it causes texture loss and over-smoothing in the reconstructed image.Therefore,a reconstruction algorithm based on improved non-local means ...
FENG Chenbo,QIN Yali,CHEN Hui,CHANG Liping,XUE Linlin
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Non-local Means Image Denoising Algorithm of Improved Weighting Function [PDF]
Jisuanji gongcheng, 2016 In order to solve inflexible rotation and translation in measuring neighborhood similarity for structural characteristics in Non-local Means(NLM) denoising method,this paper presents the NLM image denoising algorithm based on Normalized Moment of Inertia(
ZHANG Na,LIU Hui,SHANG Zhenhong,ZOU Binyi
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MODIFIED NLM MODEL FOR DESPECKLING ULTRASOUND IMAGES USING FCM CLUSTERING BASED PRE CLASSIFICATION AND RIBM [PDF]
ICTACT Journal on Image and Video Processing, 2018 Speckle noise is an inherent characteristic of ultrasound which reduces the classification accuracy of computer aided diagnosis (CAD) systems. A modified non local means (NLM) filter for despeckling ultrasound images is proposed in this article.
K M Prabusankarlal +3 more
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Applied Sciences, 2020 The non-local means (NLM) noise reduction algorithm is well known as an excellent technique for removing noise from a magnetic resonance (MR) image to improve the diagnostic accuracy.
Y. Heo, Kyuseok Kim, Youngjin Lee
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Compact rotation invariant descriptor for non-local means [PDF]
, 2010 Non-local means is a recently proposed denoising technique that better preserves image structures than other methods. However, the computational cost of non-local means is prohibitive, especially for large 3D images.
Salvado, Olivier +2 more
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Detection of Peach Disease Image Based on Asymptotic Non-Local Means and PCNN-IPELM
IEEE Access, 2020 Aiming at the problems of noise, background interference and low detection in peach disease image, this paper proposes a detection method of peach disease based on the asymptotic non-local means (ANLM) image algorithm and the fusion of parallel ...
Shuangjie Huang +5 more
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