Channel order estimation for multichannel blind image recovery
G. Harikumar, Yoram Bresler · 2002
Several algorithms have been proposed for multichannel blind deconvolution of images. Many of these algorithms are critically dependent on accurate estimates of the sizes of the unknown filters-wrong estimates can result in catastrophic failure. In this paper we present a residual-based technique for order estimation that is based on the generalized likelihood ratio test (GLRT). The performance of the algorithm is shown to be far superior to subspace rank-based methods typically used for the purpose. We conjecture that the algorithm fails only when the data is corrupted to an extent that makes any kind of reconstruction infeasible.