Title :
Local blur estimation and super-resolution
Author :
Chiang, Ming-Chao ; Boult, Terrance E.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Abstract :
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
Keywords :
edge detection; image resolution; blur estimation; edge models; local blur estimate; super-resolution; Computer science; Frequency; High-resolution imaging; Image edge detection; Image resolution; Image restoration; Image sequences; Lighting control; Sensor phenomena and characterization; US Department of Defense;
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
Print_ISBN :
0-8186-7822-4
DOI :
10.1109/CVPR.1997.609422
