Results 1 to 10 of about 2,979 (70)
Applied Sciences, 2021 Layer decomposition to separate an input image into base and detail layers has been steadily used for image restoration. Existing residual networks based on an additive model require residual layers with a small output range for fast convergence and ...
Chang-Hwan Son
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A Low-Illumination Enhancement Method Based on Structural Layer and Detail Layer
Entropy, 2023 Low-illumination image enhancement technology is a topic of interest in the field of image processing. However, while improving image brightness, it is difficult to effectively maintain the texture and details of the image, and the quality of the image ...
Wei Ge +5 more
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Comparing full-field data from structural components with complicated geometries
Royal Society Open Science, 2021 A new decomposition algorithm based on QR factorization is introduced for processing and comparing irregularly shaped stress and deformation datasets found in structural analysis.
W. J. R. Christian +4 more
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Image segmentation based on improved OSV decomposition model
Xi'an Gongcheng Daxue xuebao, 2022 A new multi-region image segmentation model based on improved OSV image decomposition was proposed for the coexistence of image structure and texture components. The model preserved the divergence-free vector field of texture image, combined multi-region
GUO Yuying +4 more
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Evaluating Threatened Bird Occurrence in the Tropics by Using L-Band SAR Remote Sensing Data
Remote Sensing, 2023 The biodiversity loss in Southeast Asia indicates an urgent need for long-term monitoring, which is lacking. Much attention is being directed toward bird diversity monitoring using remote sensing, based on relation to forest structure.
Shoko Kobayashi +6 more
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Low-Light Image Enhancement Based on Nonsubsampled Shearlet Transform
IEEE Access, 2020 To improve the observability of low-light images, a low-light image enhancement algorithm based on nonsubsampled shearlet transform (NSST) is presented (LIEST). The proposed algorithm can synchronously achieve contrast improvement, noise suppression, and
Manli Wang +4 more
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Decomp2d: An R solution for image decomposition
SoftwareX, 2022 The subjects of image processing include feature extraction, compression, denoising, image enhancement, and restoration. Many softwares have been developed for these studies.
Hee-Seok Oh, Guebin Choi, Donghoh Kim
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Multi-exposure Image Fusion using Patch-based Component Decomposition
International Journal of Emerging Research in Engineering, Science, and Management, 2022 Multi exposure image fusion is always a challenge in task in image processing. The multiple images with the different image content, when mixed using a fusion formula generate different effects. One of the most prominent effects is ghosting effect. Ghost
Dharmika A, M Gnanapriya
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IEEE Access, 2023 In this work, we study the restoration of text low-light images with outdoor scenes without ground truth. Until now, approaches in the literature have avoided using the Retinex decomposition model in an unsupervised way or have added constraining priors ...
Arthur Lecert +3 more
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Image decomposition method by topological features
Компьютерная оптика, 2022 A new method for decomposing an image into separate objects of interest is proposed in the article. The developed method is based on the use of persistent homology. A process of direct and reverse image transformation is shown.
S.V. Eremeev +3 more
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