Multi-channel high resolution blind image restoration

Wirawan*, Pierre Duhamel, Henri Maitre

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

25 Citations (Scopus)


We address the reconstruction problem of a high resolution image from its undersampled measurements across multiple FIR channels with unknown response. Our method consists of two stages: blind multi-input multi-output (MIMO) deconvolution using FIR filters and blind separation of mixed polyphase components. The proposed deconvolution method is based on the mutually referenced equalizers (MRE) algorithm previously developed for blind equalization in digital communications. For sources separation, a method is proposed for separating mixed polyphase components of a bandlimited signal. The existing blind source separation algorithms assume that the source signals are either independent or uncorrelated, which is not the case when the sources are polyphase components of a bandlimited signal. Simulation results on artificial and photographics images are given.

Original languageEnglish
Pages (from-to)3229-3232
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: 15 Mar 199919 Mar 1999


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