Results 81 to 90 of about 6,876,175 (322)
Complex Discrete Wavelet Transform-Based Image Denoising [PDF]
Engineering and Technology Journal, 2011 Dual tree complex discrete wavelet transform is implemented for denoising as an important image processing application. Two wavelet trees are used, one generating the real part of the wavelet coefficients tree and the other generating the imaginary part ...
Hadeel N. Abdullah +2 more
doaj +1 more source
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
, 2019 In this paper, we present new data pre-processing and augmentation techniques for DNN-based raw image denoising. Compared with traditional RGB image denoising, performing this task on direct camera sensor readings presents new challenges such as how to ...
Cai, Shaofan +10 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
Multi-Scale Feature Learning Convolutional Neural Network for Image Denoising
Sensors, 2023 Affected by the hardware conditions and environment of imaging, images generally have serious noise. The presence of noise diminishes the image quality and compromises its effectiveness in real-world applications.
Shuo Zhang +4 more
doaj +1 more source
No-reference Image Denoising Quality Assessment [PDF]
, 2018 A wide variety of image denoising methods are available now. However, the performance of a denoising algorithm often depends on individual input noisy images as well as its parameter setting.
Lu, Si
core +2 more sources
Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain
, 2017 Inverse imaging problems are inherently under-determined, and hence it is important to employ appropriate image priors for regularization. One recent popular prior---the graph Laplacian regularizer---assumes that the target pixel patch is smooth with ...
Cheung, Gene, Pang, Jiahao
core +2 more sources
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Image denoising: pointwise adaptive approach [PDF]
The Annals of Statistics, 2003 The paper is concerned with the problem of image denoising. We consider the case of black-white type images consisting of a finite number of regions with smooth boundaries and the image value is assumed to be piecewise constant within each region. New method of image denoising is proposed which is adaptive (assumption free) to the number of regions and
Jörg Polzehl, Vladimir Spokoiny
openaire +5 more sources
Advanced Engineering Materials, EarlyView.Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller +6 more
wiley +1 more source