Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
An integrated framework for biometrics security
iUBICOM'10 Proceedings of the 5th international conference on Ubiquitous and Collaborative Computing
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Superresolution is the process of producing a high resolution image from a collection of low resolution images. This process has potential application in a wide spectrum of fields in which navigation, surveillance, and observation are important, yet in which target images have limited resolution. There have been numerous methods proposed and developed to implement superresolution, each with its own advantages and limitations. However, there is no standard method or software for superresolution. In this paper a genetic algorithm solution for determining the registration and point spread function (PSF) parameters for superresolution is proposed and implemented, and a superresolved image is generated using genetic algorithm optimization of an existing superresolution method.