Results 31 to 40 of about 11,872,577 (297)
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
, 2020 Traditional tensor decomposition methods, e.g., two dimensional principal component analysis and two dimensional singular value decomposition, that minimize mean square errors, are sensitive to outliers. To overcome this problem, in this paper we propose
Sun, Changming +3 more
core +2 more sources
Intelligent Fault Diagnosis System using BEMD based Thermal Image Enhancement And Support Vector Machines [PDF]
This study proposes an investigation of a novel thermal image enhancement based on bi-dimensional empirical mode decomposition (BEMD) and applies this method for rotating machinery fault diagnosis system.
Tran, Van Tung
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Directional Filters for Cartoon + Texture Image Decomposition [PDF]
, 2016 We present in this article a detailed analysis and implementation of the cartoon+texture decomposition algorithm proposed in [A. Buades, J.L. Lisani, 'Directional filters for color cartoon + texture image and video decomposition', Journal of Mathematical
Jose-Luis Lisani, Antoni Buades
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Change Detection in Synthetic Aperture Radar Images Using a Multiscale-Driven Approach
Remote Sensing, 2016 Despite the significant progress that was achieved throughout the recent years, to this day, automatic change detection and classification from synthetic aperture radar (SAR) images remains a difficult task.
Olaniyi A. Ajadi +2 more
doaj +1 more source
Variational image registration using inhomogeneous regularization [PDF]
, 2014 We present a generalization of the convolution basedvariational image registration approach, in which differentregularizers can be implemented by conveniently exchangingthe convolution kernel, even if it is nonseparableor nonstationary.
Albrecht, Thomas +4 more
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IEEE Access, 2019 It is well known that the quality of visible images taken under different illumination conditions varies greatly, so the illumination factors will affect infrared and visible image fusion effects inevitably.
Ying Tong, Jin Chen
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A Coupled Variational System for Image Decomposition along with Edges Detection
Algorithms, 2022 In order to better decompose the images and protect their edges, in this paper, we proposed a coupled variational system consisting of two steps. The first step, an improved weighted variational model is introduced to obtain the cartoon and texture ...
Jianlou Xu +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Multi Sensor Image Fusion using Empirical Mode Decomposition [PDF]
, 2013 Image fusion is a process of combining relevant information from two or more images from different sensors based on certain algorithm. Many algorithms have been proposed for pixel level image fusion.
Naidu, VPS, Shakthipriya, VS
core
Lighting the darkness in the sea: A deep learning model for underwater image enhancement
Frontiers in Marine Science, 2022 Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie +5 more
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