Efficient Blind Separable Kernel Deconvolution for Image Deblurring
This paper develops a novel, efficient, 2D, blind deconvolution algorithm for restoring images corrupted by an unknown 2D blurring kernel satisfying a separable property. The algorithm builds on known results for 2D deconvolution using the Constant Modulus Algorithm (CMA) which is an archetype gradient descent based blind algorithm used in 1D blind deconvolution of communication systems. By exploiting the separable property of kernels there is a substantial speedup relative to an unstructured...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of International Conference on Signal Processing and Communication Systems (ICSPCS 2008)|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.