Relative effects of blur and noise on target acquisition: The advisability of image restoration

R. Succary, N. Corse, O. Hadar, S. R. Rotman, N. S. Kopeika

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Any image acquired by optical, electro-optical or electronic means is likely to be degraded by the environment. The resolution of the acquired image depends on the total MTF (Modulation Transfer Function) of the system and the additive noise. Image restoration techniques can improve image resolution significantly; however, as the noise increases, improvements via image processing become more limited because image restoration increases the noise level in the image. The purpose of this research is to check and characterize the MTF and noise level influences on target acquisition probability by a human observer, i.e., checking the worthwhileness of the restoration. The immediate quantity that was measured is not the probability of detection, but rather the number of targets of different sizes and degradation recognized in each scene. Conditions when restoration is advisable are determined. Further research will include real-world target recognition probability.

Original languageEnglish
Pages (from-to)120-129
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1 Dec 1997
EventAirborne Reconnaissance XXI - San Diego, CA, United States
Duration: 29 Jul 199730 Jul 1997


  • Atmospheric degradation
  • Modulation Transfer Function
  • Restoration
  • Target acquisition probability

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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