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NTIS 바로가기IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, v.27 no.5, 2018년, pp.2121 - 2133
Zhang, He (Department of Electrical and Computer Engineering, Rutgers University–) , Patel, Vishal M. (New Brunswick, New Brunswick, NJ, USA)
We propose novel convolutional sparse and low-rank coding-based methods for cartoon and texture decomposition. In our method, we first learn a set of generic filters that can efficiently represent cartoon-and texture-type images. Then, using these learned filters, we propose two optimization framewo...
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Taheri, Sima, Patel, Vishal M., Chellappa, Rama. Component-Based Recognition of Facesand Facial Expressions. IEEE transactions on affective computing, vol.4, no.4, 360-371.
Peyré, Gabriel, Fadili, Jalal, Starck, Jean-Luc. Learning the Morphological Diversity. SIAM journal on imaging sciences, vol.3, no.3, 646-669.
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Image Deraining Using a Conditional Generative Adversarial Network zhang 2017
Patel, Vishal M., Easley, Glenn R., Chellappa, Rama, Nasrabadi, Nasser M.. Separated Component-Based Restoration of Speckled SAR Images. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, vol.52, no.2, 1019-1029.
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Ono, Shunsuke, Miyata, Takamichi, Yamada, Isao. Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol.23, no.3, 1128-1142.
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