Recovery with lost subband data in overcomplete image coding
G. Gonzalez-Rosiles, Sergio D. Cabrera, Sing-Wai Wu · 2002
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.