Risk-based frequency adaptive image restoration

Daniel G. Mastropietro, Damon L. Tull, Moon Gi Kang

Research output: Contribution to conferencePaperpeer-review


A frequency adaptive choice of the regularization parameter based on an unbiased estimate of the risk is investigated. The method is intended to be used in the restoration of images degraded by a shift invariant blur and additive white Gaussian noise. The results are compared with the more widely studied non adaptive case.

Original languageEnglish
Number of pages5
Publication statusPublished - 1999
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: 1999 Oct 241999 Oct 28


OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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