Results 21 to 30 of about 7,582 (288)
Nonlocal means-based denoising for medical images. [PDF]
Comput Math Methods Med, 2012 Medical images often consist of low-contrast objects corrupted by random noise arising in the image acquisition process. Thus, image denoising is one of the fundamental tasks required by medical imaging analysis. Nonlocal means (NL-means) method provides a powerful framework for denoising. In this work, we investigate an adaptive denoising scheme based
Lu K, He N, Li L.
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Improved Non-local Means Filtering Algorithm [PDF]
Jisuanji gongcheng, 2016 The non-local means filtering algorithm is an efficient denoising algorithm that can restore details of image texture well.However,the algorithm cannot adaptive adjust filtering parameters and the filtering result is easy to produce artifacts.Owing to ...
GUO Beibei,YI Sanli,HE Jianfeng,MIAO Ying,SHAO Dangguo
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Efficient System for Delimitation of Benign and Malignant Breast Masses
Entropy, 2022 In this study, a high-performing scheme is introduced to delimit benign and malignant masses in breast ultrasound images. The proposal is built upon by the Nonlocal Means filter for image quality improvement, an Intuitionistic Fuzzy C-Means local ...
Dante Mújica-Vargas +3 more
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An Improved Image Filtering Algorithm for Mixed Noise
Applied Sciences, 2021 In recent years, image filtering has been a hot research direction in the field of image processing. Experts and scholars have proposed many methods for noise removal in images, and these methods have achieved quite good denoising results.
Chun He, Ke Guo, Huayue Chen
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Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter
Sensors, 2021 Despeckling is a key preprocessing step for applications using PolSAR data in most cases. In this paper, a technique based on a nonlocal weighted linear minimum mean-squared error (NWLMMSE) filter is proposed for polarimetric synthetic aperture radar ...
Yinbin Shen +3 more
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Nonlocal Means and Optimal Weights for Noise Removal [PDF]
SIAM Journal on Imaging Sciences, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiyu Jin +3 more
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Generalizing the Nonlocal-Means to Super-Resolution Reconstruction [PDF]
IEEE Transactions on Image Processing, 2009 Super-resolution reconstruction proposes a fusion of several low-quality images into one higher quality result with better optical resolution. Classic super-resolution techniques strongly rely on the availability of accurate motion estimation for this fusion task.
Matan Protter +3 more
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Image Processing On Line, 2011 We present in this paper a new denoising method called non-local means. The method is based on a simple principle: replacing the color of a pixel with an average of the colors of similar pixels. But the most similar pixels to a given pixel have no reason
Antoni Buades +2 more
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Essentials of Nonlocal Operators [PDF]
, 2017 This preliminary chapter aims at providing some basic knowledge on nonlocal operators. Notions which are necessary to know about the fractional Laplacian and about more general nonlocal operators will be addressed.
Claudia Bucur, Bucur, Claudia
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Multitemporal SAR Image Despeckling Based on a Scattering Covariance Matrix of Image Patch
Sensors, 2019 This paper presents a despeckling method for multitemporal images acquired by synthetic aperture radar (SAR) sensors. The proposed method uses a scattering covariance matrix of each image patch as the basic processing unit, which can exploit both the ...
Xiaoshuang Ma, Penghai Wu
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