NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Optimal Correlation Filters for Images with Signal-Dependent NoiseWe address the design of optimal correlation filters for pattern detection and recognition in the presence of signal-dependent image noise sources. The particular examples considered are film-grain noise and speckle. Two basic approaches are investigated: (1) deriving the optimal matched filters for the signal-dependent noise models and comparing their performances with those derived for traditional signal-independent noise models and (2) first nonlinearly transforming the signal-dependent noise to signal-independent noise followed by the use of a classical filter matched to the transformed signal. We present both theoretical and computer simulation results that demonstrate the generally superior performance of the second approach in terms of the correlation peak signal-to-noise ratio.
Document ID
19970023609
Acquisition Source
Ames Research Center
Document Type
Reprint (Version printed in journal)
Authors
Downie, John D.
(NASA Ames Research Center Moffett Field, CA United States)
Walkup, John F.
(Texas Technological Univ. Lubbock, TX United States)
Date Acquired
August 17, 2013
Publication Date
May 1, 1994
Publication Information
Publication: Journal of the Optical Society of America A
Publisher: Optical Society of America
Volume: 11
Issue: 5
ISSN: 0740-3232
Subject Category
Optics
Report/Patent Number
NAS 1.15:112013
NASA-TM-112013
Accession Number
97N72201
Funding Number(s)
PROJECT: RTOP 506-59-21
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available