Journal ArticleDOI
Kernel regression based feature extraction for 3D MR image denoising.
TLDR
A principled way to adapt the general kernel regression framework to Magnetic resonance 3D image denoising by considering directional information in the weight computation, which substantially enhances the performance of the filter.About:
This article is published in Medical Image Analysis.The article was published on 2011-08-01. It has received 43 citations till now. The article focuses on the topics: Non-local means & Variable kernel density estimation.read more
Citations
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Journal ArticleDOI
SIMULATED ANNEALING AND BOLTZMANN MACHINES A Stochastic Approach to Combinatorial Optimization and Neural Computing
Journal ArticleDOI
A survey on the magnetic resonance image denoising methods
TL;DR: A survey of the published literature in dealing with denoising methods in MR images is presented and the popular approaches are classified into different groups and an overview of various methods is provided.
Journal ArticleDOI
Generalized total variation-based MRI Rician denoising model with spatially adaptive regularization parameters.
TL;DR: Following a Bayesian modeling approach, a generalized total variation-based MRI denoising model is proposed based on global hyper-Laplacian prior and Rician noise assumption and has the properties of backward diffusion in local normal directions and forward diffusion inLocal tangent directions.
Journal ArticleDOI
A review on medical image denoising algorithms
TL;DR: The aim of this paper is to conduct a detailed analysis of the different denoising techniques used for medical imaging modalities which include the 2D/3D Ultrasound (US), Magnetic Resonance (MR), Computed Tomography and Positron Emission Tomography (PET) images.
Journal ArticleDOI
A New Neutrosophic Approach of Wiener Filtering for MRI Denoising
TL;DR: A new filtering method based on neutrosophic set (NS) approach of wiener filter is presented to remove Rician noise from magnetic resonance image to produce better denoising results compared with other Denoising methods.
References
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Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Journal ArticleDOI
Fundamentals of statistical signal processing: estimation theory
TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
Journal ArticleDOI
Scale-space and edge detection using anisotropic diffusion
Pietro Perona,Jitendra Malik +1 more
TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
Proceedings ArticleDOI
A non-local algorithm for image denoising
TL;DR: A new measure, the method noise, is proposed, to evaluate and compare the performance of digital image denoising methods, and a new algorithm, the nonlocal means (NL-means), based on a nonlocal averaging of all pixels in the image is proposed.