L-0-Regularized image downscaling

In this paper, we propose a novel L-0-regularized optimization framework for image downscaling. The optimization is driven by two L-0-regularized priors. The first prior, gradient-ratio prior, is based on the observation that the number of edges in the downscaled image is approximately inverse squar...

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Bibliographic Details
Main Authors: LIU, Junjie, HE, Shengfeng, LAU, Rynson W.H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/7869
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Institution: Singapore Management University
Language: English

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