Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report.
Marcos V. CondeRadu TimofteYibin HuangJingyang PengChang ChenCheng LiEduardo Pérez-PelliteroFenglong SongFurui BaiShuai LiuChaoyu FengXiaotao WangLei LeiYu ZhuChenghua LiYingying JiangYong APeisong WangCong LengJian ChengXiaoyu LiuZhicun YinZhilu ZhangJunyi LiMing LiuWangmeng ZuoJun JiangJinha KimYue ZhangBeiji ZouZhikai ZongXiaoxiao LiuJuan Marín-VegaMichael SlothPeter Schneider-KampRichard RöttgerFurkan KinliBaris ÖzcanFurkan KiraçLi LeyiS. M. Nadim UddinDipon Kumar GhoshYong Ju JungPublished in: CoRR (2022)
Keyphrases
- signal processing
- high resolution
- input image
- image analysis
- single image
- image data
- reconstruction process
- image features
- computerized tomography
- low level
- image representation
- image retrieval
- image processing
- image pixels
- segmentation method
- multiscale
- image classification
- high level
- image regions
- reconstruction method
- image content
- reconstructed image
- image collections
- feature points
- reconstruction quality
- reconstruction error
- similarity measure
- image matching
- image reconstruction
- region of interest
- test images
- aerial images
- image segmentation
- discrete tomography
- segmentation algorithm
- low resolution