Image Registration using combination of PCA and GPOF Method for Multiframe Super-Resolution
Author(s) -
Jagruti Rajput,
Bhailal Limbasiya
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/21276-4138
Subject(s) - computer science , artificial intelligence , computer vision , superresolution , resolution (logic) , image registration , image (mathematics) , pattern recognition (psychology)
Super-resolution technique is used for resolution enhancement. In Multiframe Super-resolution multiple low resolution images are combined to get high resolution image. Most important part of Multiframe Super-resolution is Image Registration that estimates translation,rotation and scaling parameters. In this paper they propose combination of PCA and GPOF registration method for constructing high resolution image. In GPOF registration method, which reach the sub pixel precision and allow large pixel motions and then apply PCA method which is used for compression of image. Image fusion is applied to get one output image. Then bicubic interpolation is used to get high resolved image. Experiment images show that the HR image by our proposed method has much higher quality than other methods.
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