Cartoon+Texture Image Decomposition
Image Processing On Line, 2011 In this article we give a thorough description of the algorithm proposed in [A. Buades, T. Le, J.M. Morel and L. Vese, Fast cartoon + texture image filters, IEEE Transactions on Image Processing, 2010] for cartoon+texture decomposition using of a ...
Antoni Buades +3 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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Medical image enhancement using threshold decomposition driven adaptive morphological filter [PDF]
, 2008 One of the most common degradations in medical images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image.
Mahmoud, Tarek A., Marshall, Stephen
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Simultaneous inpainting and denoising by directional global three-part decomposition: connecting variational and Fourier domain-based image processing [PDF]
Royal Society Open Science, 2018 We consider the very challenging task of restoring images (i) that have a large number of missing pixels, (ii) whose existing pixels are corrupted by noise, and (iii) that ideally contain both cartoon and texture elements.
D. H. Thai, C. Gottschlich
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Multi-Phase Image Segmentation Based on Low-Rank Prior Decomposition
IEEE Access, 2022 Natural images generally contain both structure component and texture component. The existing image segmentation models based on piecewise smooth cannot handle such natural images containing texture well.
Jianlou Xu, Yuying Guo, Leigang Huo
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An efficient algorithm for adaptive total variation based image decomposition and restoration
International Journal of Applied Mathematics and Computer Science, 2014 With the aim to better preserve sharp edges and important structure features in the recovered image, this article researches an improved adaptive total variation regularization and H−1 norm fidelity based strategy for image decomposition and restoration ...
Liu Xinwu, Huang Lihong
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Multiresolution-based image fusion with additive wavelet decomposition [PDF]
, 1999 The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data.
Fors Aldrich, Octavi +8 more
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DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement
Tsinghua Science and Technology, 2023 Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement.
Yonglong Jiang +4 more
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Exposure Fusion for Dynamic Scenes Combining Retinex Theory and Low-Rank Matrix Completion
IEEE Access, 2019 Exposure fusion (EF) directly generates a low dynamic range (LDR) image with similar image quality to the high dynamic range (HDR) image by combining images of different exposures to overcome the limited dynamic range of common digital cameras.
Mali Yu, Hai Zhang, Hongyan Wan
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Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]
, 2009 In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk +7 more
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