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 ChoXin LiuXueying HuJun JiangJinwei GuKai LiPengliang TangBingxin HouPublished in: CoRR (2020)
Keyphrases
- processing pipeline
- image data
- multiscale
- single image
- image analysis
- image representation
- input image
- image regions
- image retrieval
- image content
- high frequency components
- image features
- signal processing
- image segmentation
- frequency domain
- feature points
- template matching
- low frequency
- image pixels
- similarity measure
- image collections
- transformed image
- spatial filters
- high frequency
- image classification
- image database
- high resolution
- object recognition
- video sequences
- hough transform
- image matching
- digital images
- pixel values
- image registration
- low level
- random noise
- nonlinear filters
- face recognition