Name
Abstract | ||
|---|---|---|
This paper reviews the first NTIRE challenge on perceptual image enhancement 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 low -quality photos from the iPhone 3GS device to the same photos captured with Canon 70D DSLR camera. The considered problem embraced a number of computer vision subtasks, such as image denoising, image resolution and sharpness enhancement, image color/contrast/exposure adjustment, etc. The target metric used in this challenge combined fidelity scores (PSNR and SSIM) with solutions' perceptual results measured in a user study. From above 200 registered participants, 13 teams submitted solutions for the final test phase of the challenge. The proposed solutions significantly improved baseline results, defining the state-of-the-art for practical image enhancement. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CVPRW.2019.00275 | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
Field | DocType | ISSN |
Computer vision,Computer science,Artificial intelligence | Conference | 2160-7508 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
53 | ||