Image super-resolution using gradient profile prior

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 hiresolution image is sharp while has rare ringing or jaggy artifacts.

• Type: Conference
• Year: 2008
• Where: CVPR
• Authors: Jian Sun, Zongben Xu, Heung-Yeung Shum
• Keywords: Computer Vision, CVPR 2008, Hi-resolution Image, Hiresolution Image, Image Gradients, Image Super-resolution Approach, Low-resolution Image