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 PSNR and SSIM scores with solutions' perceptual results measured in the user study. The proposed solutions significantly improved baseline results, defining the state-of-the-art for practical image enhancement.

Ignatov, A., Timofte, R., Qu, X., Zhou, X., Liu, T., Wan, P., et al. (2019). NTIRE 2019 challenge on image enhancement: Methods and results. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.2224-2232). IEEE Computer Society [10.1109/CVPRW.2019.00275].

NTIRE 2019 challenge on image enhancement: Methods and results

Schettini R.;Bianco S.;Cusano C.;Piccoli F.;
2019

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 PSNR and SSIM scores with solutions' perceptual results measured in the user study. The proposed solutions significantly improved baseline results, defining the state-of-the-art for practical image enhancement.
poster + paper
image enhancement, image quality, tone adjustment, cameras, smartphones, task analysis, visualization, computer vision
English
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
2019
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
9781728125060
2019
2019-
2224
2232
9025406
none
Ignatov, A., Timofte, R., Qu, X., Zhou, X., Liu, T., Wan, P., et al. (2019). NTIRE 2019 challenge on image enhancement: Methods and results. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.2224-2232). IEEE Computer Society [10.1109/CVPRW.2019.00275].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/273975
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