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Title:Fast Super-Resolution through Polyphase Decomposition and Armijo Line Search
Author(s):Ho, David Joon
Contributor(s):Blackburn, Joshua; Do, Minh N.
Subject(s):imaging
superresolution
polyphase decomposition
Amijo line search
fast algorithms
Abstract:Super-resolution is an algorithm which can create a high-resolution image from a set of low-resolution images. A set of low-resolution images can be modeled from a high-resolution image by geometric warping, blurring, and decimation. In the past, people assumed that the blur operation would be the same for every low-resolution image; the algorithm applies when we use a single camera and it reduces the computational complexity. In this research, we generalize the problem that the blur operations are not the same anymore so that the algorithm is not restricted to a single camera. Through polyphase decomposition and Armijo line search, we are still able to have a fast algorithm. The results show that polyphase decomposition and Armijo line search reduce the running time by 75 times compared with the original algorithm.
Issue Date:2009-12
Genre:Other
Type:Text
Language:English
URI:http://hdl.handle.net/2142/47014
Publication Status:unpublished
Peer Reviewed:not peer reviewed
Date Available in IDEALS:2014-01-22


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