Proceedings of the 2010 conference on Information Modelling and Knowledge Bases XXI
Efficient Fourier-wavelet super-resolution
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
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Discretization of image restoration problems often leads to a discrete inverse ill posed problem: the discretized operator is so badly conditioned that it can be actually considered as undetermined. In this case one should single out the solution which is the nearest to the desired solution.The usual way to do it is to regularize the problem. In this paper we focus on the computational aspects of the Wiener filter, introduced at the beginning of the 40th, i.e. about 20 years before the Tikhonov regularization, in the framework of the regularization methods. The emhpasis will be given on its reliability and its efficiency, both of which become more and more important as the size and the complexity of the real problem grow and the demand for advanced real-time processing increases.