Image super-resolution
Citations
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Cites background from "Image super-resolution"
...Image super-resolution, reconstructing a higher-resolution image or image sequence from the observed low-resolution image [190], is an exciting application of deep learning methods....
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Cites background from "Image super-resolution"
...Instead of devoting to physical imaging technology, many researchers aim to recover highresolution images from low-resolution ones using an image processing technology called super-resolution [1]....
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References
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"Image super-resolution" refers methods in this paper
...The popular spatial domain methods include non-uniform interpolation [35], iterative back-projection (IBP) [56], projection onto convex sets (POCS) [57,63,70], the regularized methods [34,40,43,47,53,54,58,62], and a number of hybrid algorithms [71]....
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"Image super-resolution" refers methods in this paper
...related studies have been presented, such as the alternating direction method of multipliers (ADMM) [131,134], the primal–dual (PD) based algorithms [105], the Douglas-Rachford algorithm [135], proximal forward backward splitting (PFBS) [130], and the split-Bregman (SB) method [102]....
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...In recent years, abundant related studies have been presented, such as the alternating direction method of multipliers (ADMM) [131,134], the primal–dual (PD) based algorithms [105], the Douglas-Rachford algorithm [135], proximal forward backward splitting (PFBS) [130], and the split-Bregman (SB) method [102]....
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