Abstract
Second generation wavelet based super resolution algorithms developed in this research are presented in this paper. Generalization of the Second generation wavelet super resolution (SGWSR) algorithm to handle arbitrarily irregular 2-D grids as opposed to the semi-regular grids handled in the previous algorithm is introduced. A consequence is the ability to incorporate the projective camera motion model into the framework. Simultaneous noise filtering with super resolution is achieves. The generalization to the arbitrary 2-D version is subsequently described. Simulation results which demonstrate the improved performance of the developed super resolution algorithms in comparison to other approaches are also presented. Key words: Super resolution, second generation wavelets, blind deconvolution, optimal thresholding, blur support determination
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