AIM 2019 challenge on RAW to RGB mapping: Methods and results

  • Ignatov, Andrey
  • Timofte, Radu
  • Ko, Sung-Jea
  • Kim, Seung-Wook
  • Uhm, Kwang-Hyun
  • 외 29명
Citations

WEB OF SCIENCE

28
Citations

SCOPUS

42

초록

This paper reviews the first AIM challenge on mapping camera RAW to RGB images with the focus on proposed solutions and results. The participating teams were solving a real-world photo enhancement problem, where the goal was to map the original low-quality RAW images from the Huawei P20 device to the same photos captured with the Canon 5D DSLR camera. The considered problem embraced a number of computer vision subtasks, such as image demosaicing, denoising, gamma correction, image resolution and sharpness enhancement, etc. The target metric used in this challenge combined fidelity scores (PSNR and SSIM) with solutions' perceptual results measured in a user study. The proposed solutions significantly improved baseline results, defining the state-of-the-art for RAW to RGB image restoration.

키워드

AIMAIM2019ChallengeComputer visionDeep learningImage enhancementImage manipulationMobile camerasRAW to RGBSmartphonesCamerasComputer visionDeep learningImage reconstructionImage resolutionMappingSmartphonesAIM2019ChallengeImage manipulationMobile cameraRAW to RGBImage enhancement
제목
AIM 2019 challenge on RAW to RGB mapping: Methods and results
저자
Ignatov, AndreyTimofte, RaduKo, Sung-JeaKim, Seung-WookUhm, Kwang-HyunJi, Seo-WonCho, Sung-JinHong, Jun-PyoMei, KangfuLi, JunchengZhang, JiajieWu, HaoyuLi, JieHuang, RuiHaris, MuhammadShakhnarovich, GregUkita, NorimichiZhao, YuzhiPo, Lai-ManZhang, TiantianLiao, ZongbangShi, XiangZhang, YujiaOu, WeifengXian, PengfeiXiong, JingjingZhou, ChangYu, Wing YinYubinHou, BingxinPark, BumjunYu, SonghyunKim, SangminJeong, Jechang
DOI
10.1109/ICCVW.2019.00443
발행일
2019-10
유형
Conference Paper
저널명
IEEE International Conference on Computer Vision Workshop (ICCVW)
페이지
3584 ~ 3590