Results 61 to 70 of about 43,627 (311)
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
Image volume denoising using a Fourier-wavelet basis [PDF]
, 2003 A novel approach to the removal of noise from threedimensional image data is described. The image sequence is represented using a non-adaptive wavelet basis, carefully chosen for its ability to compactly represent locally planar surfaces.
Wilson, Roland +3 more
core
Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation [PDF]
, 2011 Copyright @ 2011 Shadi AlZubi et al. This article has been made available through the Brunel Open Access Publishing Fund.The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying ...
Alzubi, S +5 more
core +1 more source
Single-Image Simultaneous Destriping and Denoising: Double Low-Rank Property [PDF]
, 2023 When a remote sensing camera work in push-broom mode, the obtained image usually contains significant stripe noise and random noise due to differences in detector response and environmental factors.
Chunyu Liu +5 more
core +1 more source
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
An Improved Combination of Image Denoisers Using Spatial Local Fusion Strategy
IEEE Access, 2020 Image denoising is a well-researched problem in the image processing field. Numerous image denoising algorithms have been proposed in the past. Although researchers have continually focused on improving the denoising algorithm performance regarding ...
Yiwen Liu, Shaoping Xu, Zhenyu Lin
doaj +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
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising [PDF]
, 2021 Though convolutional neural networks (CNNs) with residual and dense aggregations have obtained much attention in image denoising, they are incapable of exploiting different levels of contextual information at every convolutional unit in order to infer ...
Gao, Y +5 more
core +1 more source
Advanced Engineering Materials, EarlyView.New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold +2 more
wiley +1 more source
Medical Image Denoising Using Convolutional Denoising Autoencoders [PDF]
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 2016 To appear: 6 pages, paper to be published at the Fourth Workshop on Data Mining in Biomedical Informatics and Healthcare at ICDM ...
openaire +2 more sources