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NTIRE 2019 challenge on image enhancement: Methods and results
- Source :
- CVPR Workshops
- Publication Year :
- 2019
- Publisher :
- IEEE Computer Society, 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.
- Subjects :
- 0209 industrial biotechnology
Computer science
Image quality
Structural similarity
business.industry
media_common.quotation_subject
image enhancement, image quality, tone adjustment, cameras, smartphones, task analysis, visualization, computer vision
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Visualization
Image (mathematics)
020901 industrial engineering & automation
Perception
Metric (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Contrast (vision)
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Focus (optics)
Image resolution
media_common
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- CVPR Workshops
- Accession number :
- edsair.doi.dedup.....5b3abf4e1c885bf3c2ca6018567756ab