Improved blind image restoration scheme using recurrent filtering

T. W.S. Chow, Xiao Dong Li, S. Y. Cho

Research output: Journal PublicationArticlepeer-review

11 Citations (Scopus)


In the paper, the idea of space-adaptive regularisation is introduced into the nonnegativity and support constraints recursive inverse filtering (NAS-RIF) algorithm for blind image restoration. A newly developed cost function is obtained by adding a space-adaptive regularisation term to the cost function of the NAS-RIF algorithm to prevent noise amplification and to reduce ringing artifacts. Compared to the original NAS-RIF algorithm, the improved NAS-RIF algorithm is particularly effective under low SNR conditions. Also, the experimental results show that the co-vergence characteristic of the improved NAS-RIF algorithm is much more stable and the converged solution is capable of providing an excellent estimate of the original image.

Original languageEnglish
Pages (from-to)23-28
Number of pages6
JournalIEE Proceedings: Vision, Image and Signal Processing
Issue number1
Publication statusPublished - 2000
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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