Local Blur Estimation and Super-Resolution

Until now, all super-resolution algorithms have presumed that the images were taken under the same illumination conditions. This paper introduces a new approach to super-resolution--based on edge models and a local blur estimate--which circumvents these difficulties. The paper presents the theory and the experimental results using the new approach.

• Type: Conference
• Year: 1997
• Where: CVPR
• Authors: Ming-Chao Chiang, Terrance E. Boult
• Keywords: Computer Vision, CVPR 1997, Illumination Conditions, Local Blur Estimate--which