Results 11 to 20 of about 11,872,577 (297)
Cartoon+Texture Image Decomposition [PDF]
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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PPSW–SHAP: Towards Interpretable Cell Classification Using Tree-Based SHAP Image Decomposition and Restoration for High-Throughput Bright-Field Imaging [PDF]
Cells, 2023 Advancements in high–throughput microscopy imaging have transformed cell analytics, enabling functionally relevant, rapid, and in–depth bioanalytics with Artificial Intelligence (AI) as a powerful driving force in cell therapy (CT) manufacturing.
Polat Goktas, Ricardo Simon Carbajo
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Empirical Monocomponent Image Decomposition
IEEE Access, 2018 Monocomponent image decomposition plays an important role in image analysis and related areas, such as image denoising, object detection, and texture segmentation. Existing image decomposition methods can extract monocomponents but their performances are
Ungsumalee Suttapakti +2 more
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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. +4 more
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, 2022 We propose and study a novel task named Blind Image Decomposition (BID), which requires separating a superimposed image into constituent underlying images in a blind setting, that is, both the source components involved in mixing as well as the mixing mechanism are unknown.
Junlin Han +7 more
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Image filling-in in a decomposition space [PDF]
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004 An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented in this paper. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and then reconstruct each one of these functions separately with structure and texture filling-in ...
Marcelo Bertalmío +3 more
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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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Image-based flow decomposition using empirical wavelet transform [PDF]
, 2021 We propose an image-based flow decomposition developed from the two-dimensional (2-D) tensor empirical wavelet transform (EWT) (Gilles, IEEE Trans. Signal Process., vol. 61, 2013, pp. 3999-4010).
Ren, Jie, Mao, Xuerui, Fu, Song
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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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