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
72 citations
"Image super-resolution" refers background in this paper
...The regularization function is usually divided into two categories, Gaussian MRF (GMRF) [78] or Huber MRF (HMRF) [101], in accordance with the choice of φ ( ⋅)....
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...Nevertheless, the results of the HMRF and nonlocal TV models better conform to human visual perception....
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...Other improvements include higher-order TV (HDTV) [111], bilateral TV (BTV) [43], locally adaptive BTV (LABTV) [96], etc. HMRF is also a representative edge-preserving prior model [101,112]....
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...HMRF is also a representative edge-preserving prior model [101,112]....
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...The regularization function is usually divided into two categories, Gaussian MRF (GMRF) [78] or Huber MRF (HMRF) [101], in accordance with the choice of ϕ ( ⋅)....
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