Abstract
In this paper, we propose an image super-resolution approach using a novel generic image prior - gradient profile prior, which is a parametric prior describing the shape and the sharpness of the image gradients. Using the gradient profile prior learned from a large number of natural images, we can provide a constraint on image gradients when we estimate a hi-resolution image from a low-resolution image. With this simple but very effective prior, we are able to produce state-of-the-art results. The reconstructed hi-resolution image is sharp while has rare ringing or jaggy artifacts.
Keywords
Image (mathematics)Artificial intelligenceRinging artifactsImage gradientRingingComputer visionComputer scienceImage resolutionResolution (logic)Image restorationConstraint (computer-aided design)Parametric statisticsFeature detection (computer vision)Sub-pixel resolutionMorphological gradientPattern recognition (psychology)Image processingMathematicsDigital image processingEnhanced Data Rates for GSM Evolution
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Publication Info
- Year
- 2008
- Type
- article
- Pages
- 1-8
- Citations
- 929
- Access
- Closed
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Cite This
Jianping Sun,
Zongben Xu,
Heung‐Yeung Shum
(2008).
Image super-resolution using gradient profile prior.
, 1-8.
https://doi.org/10.1109/cvpr.2008.4587659
Identifiers
- DOI
- 10.1109/cvpr.2008.4587659