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Noise, Edge Extraction and Visibility of FeaturesNoise, whether due to the image-gathering device or some other reason, reduces the visibility of fine features in an image. Several techniques attempt to mitigate the impact of noise by performing a low-pass filtering operation on the acquired data. This is based on the assumption that the uncorrelated noise has high-frequency content and thus will be suppressed by low-pass filtering. A result of this operation is that edges in a noisy image also tend to get blurred, and, in some cases, may get completely lost due to the low-pass filtering. In this paper, we quantitatively assess the impact of noise on fine feature visibility by using computer-generated targets of known spatial detail. Additionally, we develop a new scheme for noise-reduction based on the connectivity of edge-features. The overall impact of this scheme is to reduce overall noise, yet retain the high frequency content that make edge-features sharp.
Document ID
20070020202
Acquisition Source
Langley Research Center
Document Type
Conference Paper
External Source(s)
Authors
Rahman, Zia-ur
(College of William and Mary Williamsburg, VA, United States)
Jobson, Daniel J.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 23, 2013
Publication Date
May 25, 2005
Publication Information
Publication: Proceedings of SPIE
Volume: 5817
ISBN: 9.78E+12
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: Visual Information Processing XIV
Location: Orlando, FL
Country: United States
Start Date: March 29, 2005
End Date: March 30, 2005
Sponsors: International Society for Optical Engineering
Funding Number(s)
CONTRACT_GRANT: NNL04AA02A
Distribution Limits
Public
Copyright
Other

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