Adaptive Image Decomposition into Cartoon and Texture Parts Optimized by the Orthogonality Criterion
In this paper, a new decomposition method is introduced that splits the image into geometric (or cartoon) and texture parts. Following a total variation based preprocesssing, the core of the proposed method is an anisotropic diffusion with an orthogonality-based parameter estimation and stopping con...
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| Veröffentlicht in: | IEEE transactions on image processing 2012-08, Vol.21 (8), p.3405-3415 |
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| container_end_page | 3415 |
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| container_title | IEEE transactions on image processing |
| container_volume | 21 |
| creator | Szolgay, D. Sziranyi, T. |
| description | In this paper, a new decomposition method is introduced that splits the image into geometric (or cartoon) and texture parts. Following a total variation based preprocesssing, the core of the proposed method is an anisotropic diffusion with an orthogonality-based parameter estimation and stopping condition. The quality criterion is defined by the theoretical assumption that the cartoon and the texture components of an image are orthogonal to each other. The presented method has been compared with other decomposition algorithms through visual and numerical evaluation to prove its superiority. |
| doi_str_mv | 10.1109/TIP.2012.2192128 |
| format | Article |
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Following a total variation based preprocesssing, the core of the proposed method is an anisotropic diffusion with an orthogonality-based parameter estimation and stopping condition. The quality criterion is defined by the theoretical assumption that the cartoon and the texture components of an image are orthogonal to each other. 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| issn | 1057-7149 1941-0042 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Anisotropic diffusion Anisotropic magnetoresistance Applied sciences Cartoons as Topic Correlation Detection, estimation, filtering, equalization, prediction Exact sciences and technology Image decomposition Image edge detection Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Information, signal and communications theory Noise Pattern Recognition, Automated - methods quality criterion Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal, noise Smoothing methods Telecommunications and information theory texture segmentation total variation Vectors |
| title | Adaptive Image Decomposition into Cartoon and Texture Parts Optimized by the Orthogonality Criterion |
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