Single Image Super
Found 4 free book(s)
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
![and Super-Resolution arXiv:1603.08155v1 [cs.CV] 27 Mar 2016](/cache/preview/2/d/c/1/c/a/1/5/thumb-2dc1ca15e82fc13a292da02b4114d430.jpg)
and Super-Resolution arXiv:1603.08155v1 [cs.CV] 27 Mar 2016
arxiv.orgwith single-image super-resolution, where replacing a per-pixel loss with a perceptual loss gives visually pleasing results. Keywords: Style transfer, super-resolution, deep learning 1 Introduction Many classic problems can be framed as image transformation tasks, where a system receives some input image and transforms it into an output image ...
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
RF Mixers - QSL.net
www.qsl.netsidebands. Measuring SSB noise figure is relevant for super-heterodyne receiver architectures in which the image frequency is removed by filtering or cancellation. SSB NF is the ratio of SNR at the desired output frequency (IF) to the SNR at input frequency (RF) measured in …