AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results.
Shuhang GuHanwen LiuDan ZhuTangxin XieXin YangChen ZhuJia YuWenyu SunXin TaoZijun DengLiying LuMartin DanelljanWenbo LiTaian GuoXiaoyong ShenXuemiao XuYu-Wing TaiJiaya JiaPeng YiZhongyuan WangKui JiangJunjun JiangRadu TimofteJiayi MaZhi-Song LiuLi-Wen WangChu-Tak LiWan-Chi SiuYui-Lam ChanRuofan ZhouMajed El HelouKuldeep PurohitPraveen KandulaMuhammad HarisMaitreya SuinA. N. RajagopalanKazutoshi AkitaGreg ShakhnarovichNorimichi UkitaPablo Navarrete MicheliniWenbin ChenPublished in: ICCV Workshops (2019)
Keyphrases
- super resolution
- high resolution
- image resolution
- single image
- high resolution images
- low resolution images
- low resolution
- low quality images
- image super resolution
- test images
- projection onto convex sets
- resolution enhancement
- image reconstruction
- image restoration
- image segmentation
- image data
- image features
- imaging process
- super resolution reconstruction
- field of view
- multi frame
- reconstruction method
- edge detection
- super resolved
- higher resolution
- back projection
- image processing
- multiscale
- single frame
- image representation
- input image
- image classification
- super resolution algorithm
- spatial resolution
- image quality