Articles with "gradient maps" as a keyword



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Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing

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Published in 2020 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2020.3007840

Abstract: The total variation (TV) is a powerful regularization term encoding the local smoothness prior structure underlying images. By combining the TV regularization term with low rank prior, the 3D total variation (3DTV) regularizer has achieved… read more here.

Keywords: term; enhanced 3dtv; 3dtv regularization; gradient maps ... See more keywords
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Structure-Preserving Image Super-Resolution

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Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2021.3114428

Abstract: In this paper, we propose a structure-preserving super-resolution (SPSR) method to alleviate the above issue while maintaining the merits of GAN-based methods to generate perceptual-pleasant details. Firstly, we propose SPSR with gradient guidance (SPSR-G) by… read more here.

Keywords: resolution; super resolution; structure preserving; structure ... See more keywords