New image restoration performance measures with high precision

Steven S.O. Choy, Yuk Hee Chan, Wan Chi Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)


The field of image restoration lacks a promising comparison vehicle for judging the effectiveness of competing algorithms. By far the most widely adopted quantitative measurement of image restoration performance is by means of the SNR improvement. We address the issues of performance assessment of image restoration and propose a unified framework for the performance measure. The SNR improvement, which is within the proposed framework, is shown to be an inappropriate performance measure for image restoration. By introducing a metric for pixel fidelity improvement and incorporating the main properties of the human visual system into the measurement, we devise a performance measure of better quality, particularly of higher precision.
Original languageEnglish
Pages (from-to)1035-1043
Number of pages9
JournalOptical Engineering
Issue number4
Publication statusPublished - 1 Jan 1997


  • Image restoration
  • Precision evaluation
  • Restoration performance measure

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)


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