AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
Andrey IgnatovRadu TimofteZhilu ZhangMing LiuHaolin WangWangmeng ZuoJiawei ZhangRuimao ZhangZhanglin PengSijie RenLinhui DaiXiaohong LiuChengqi LiJun ChenYuichi ItoBhavya VasudevaPuneesh DeoraUmapada PalZhenyu GuoYu ZhuTian LiangChenghua LiCong LengZhihong PanBaopu LiByung-Hoon KimJoonyoung SongJong Chul YeJaeHyun BaekMagauiya ZhussipYeskendir KoishekenovHwechul Cho YeXin LiuXueying HuJun JiangJinwei GuKai LiPengliang TangBingxin HouPublished in: ECCV Workshops (3) (2020)
Keyphrases
- processing pipeline
- image features
- image data
- image classification
- image analysis
- input image
- image segmentation
- image content
- transformed image
- image representation
- pixel intensities
- low frequency
- image retrieval
- multiscale
- additive noise
- pixel values
- image collections
- template matching
- signal processing
- high frequency
- image regions
- frequency domain
- single image
- similarity measure
- image processing
- random noise
- region of interest
- contrast enhancement
- image denoising
- natural images
- high resolution