Recovery with lost subband data in overcomplete image coding

This paper deals with the recovery of an image when some partially redundant subband data has been irreversibly corrupted. The approach presented assumes an overcomplete subband decomposition and uses a local optimal recovery estimator that works as a block processing scheme. The method takes advantage of the inherent correlation and redundancy among the remaining uncorrupted subband data. We view this approach as an alternative or as a complementary method to be used with forward error correcting codes requiring only error detection capability. We test the performance using row/column separable processing on images