Linear-Quadratic Noise-Smoothing Filters for Quantum-Limited Images

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In this correspondence, we consider the use of nonlinear estimators for the noise smoothing of images obtained under quantum-limited imaging conditions. A Volterra expansion is investigated from which a set of linear-quadratic filters is derived using higher order statistics. The filters are applicable for single frame and multiple frames of a single scene imaged under low-light levels.

Original languageEnglish (US)
Pages (from-to)1328-1333
Number of pages6
JournalIEEE Transactions on Image Processing
Volume4
Issue number9
DOIs
StatePublished - Sep 1995

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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