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Search results with tag "Image super"
Deep Unfolding Network for Image Super-Resolution
openaccess.thecvf.comSingle image super-resolution (SISR) refers to the pro-cess of recovering the natural and sharp detailed high-resolution(HR) counterpart from a low-resolution (LR) im-age. It is one of the classical ill-posed inverse problems in low-level computer vision and has a wide range of real-world applications, such as enhancing the image visual
Image Super-Resolution via Deep Recursive Residual Network
openaccess.thecvf.comSingle Image Super-Resolution (SISR) is a classic com-puter vision problem, which aims to recover a high-resolution (HR) image from a low-resolution (LR) image. Since SISR restores the high-frequency information, it is widely used in applications such as medical imaging [26], satellite imaging [29], security and surveillance [37], where