AIM 2020 挑战赛：基于学习的图像信号处理流水线
计算机视觉与模式识别
2020-11-11 v1 图像与视频处理
摘要
本文回顾了第二届 AIM 学习型 ISP（图像信号处理）挑战赛，并提供了所提出方案与结果的描述。参赛队伍致力于解决一个真实世界的 RAW 到 RGB 映射问题，其目标是将华为 P20 设备拍摄的原始低质量 RAW 图像映射为使用佳能 5D 单反相机拍摄的相同照片。所考虑的任务涵盖多个复杂的计算机视觉子任务，例如图像去马赛克、去噪、白平衡、色彩与对比度校正、去摩尔纹等。本挑战赛使用的目标度量将保真度分数（PSNR 和 SSIM）与用户研究中测量的方案感知结果相结合。所提出的方案显著改进了基线结果，确立了实用图像信号处理流水线建模的 SOTA（最先进水平）。
引用
@article{arxiv.2011.04994,
title = {AIM 2020 Challenge on Learned Image Signal Processing Pipeline},
author = {Andrey Ignatov and Radu Timofte and Zhilu Zhang and Ming Liu and Haolin Wang and Wangmeng Zuo and Jiawei Zhang and Ruimao Zhang and Zhanglin Peng and Sijie Ren and Linhui Dai and Xiaohong Liu and Chengqi Li and Jun Chen and Yuichi Ito and Bhavya Vasudeva and Puneesh Deora and Umapada Pal and Zhenyu Guo and Yu Zhu and Tian Liang and Chenghua Li and Cong Leng and Zhihong Pan and Baopu Li and Byung-Hoon Kim and Joonyoung Song and Jong Chul Ye and JaeHyun Baek and Magauiya Zhussip and Yeskendir Koishekenov and Hwechul Cho Ye and Xin Liu and Xueying Hu and Jun Jiang and Jinwei Gu and Kai Li and Pengliang Tan and Bingxin Hou},
journal= {arXiv preprint arXiv:2011.04994},
year = {2020}
}
备注
Published in ECCV 2020 Workshops (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/