NTIRE 2022 Challenge on Perceptual Image Quality Assessment.
Jinjin GuHaoming CaiChao DongJimmy S. RenRadu TimofteYuan GongShanshan LaoShuwei ShiJiahao WangSidi YangTianhe WuWeihao XiaYujiu YangMingdeng CaoCong HengLingzhi FuRongyu ZhangYusheng ZhangHao WangHongjian SongJing WangHaotian FanXiaoxia HouMing SunMading LiKai ZhaoKun YuanZishang KongMingda WuChuanchuan ZhengMarcos V. CondeMaxime BurchiLongtao FengTao ZhangYang LiJingwen XuHaiqiang WangYiting LiaoJunlin LiKele XuTao SunYunsheng XiongAbhisek Keshari KomalSadbhawana ThakurVinit JakhetiyaBadri N. SubudhiHao-Hsiang YangHua-En ChangZhi-Kai HuangWei-Ting ChenSy-Yen KuoSaikat DuttaSourya Dipta DasNisarg A. ShahAnil Kumar TiwariPublished in: CVPR Workshops (2022)
Keyphrases
- image quality assessment
- perceptual quality
- human visual system
- structural similarity
- quality assessment
- image quality
- natural scene statistics
- reduced reference
- correlation coefficient
- image quality measures
- image database
- perceptual image quality
- natural images
- visual perception
- blind image quality assessment
- structural similarity index
- quality metrics
- human perception
- image quality metrics
- similarity index
- quality evaluation
- kullback leibler divergence
- distorted images
- natural scenes
- high level
- quality measures
- structural information
- visual quality
- visual information
- semantic information
- multiscale