Channel order estimation for multichannel blind image recovery

Gopal Harikumar, Yoram Bresler

Research output: Contribution to journalArticlepeer-review


Several algorithms have been recently 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.

Original languageEnglish (US)
Pages (from-to)984-988
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
StatePublished - 1998
Externally publishedYes

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering


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