HIGHLIGHTS
SUMMARY
Despite its long history, SR remains a challenging task in computer vision because it is notoriously ill-posed: several HR images can be valid for any given LR image due to many aspects like brightness and coloring, In SISR, one LR image leads to one HR image, whereas MISR generates many HR images from many LR images. The aim of Single Image Super-Resolution (SISR) is to scale up a given Low-Resolution (LR) image x ∈ Rw̄×h̄×c to a High-Resolution (HR) image y ∈ Rw×h×c, with w̄ ≤ w and h . . .
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