Noise, edge extraction, and visibility of features

Zia-ur Rahman; Daniel J. Jobson

doi:10.1117/12.602733

25 May 2005 Noise, edge extraction, and visibility of features

Zia-ur Rahman, Daniel J. Jobson

Proceedings Volume 5817, Visual Information Processing XIV; (2005) https://doi.org/10.1117/12.602733
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Noise, 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.

Citation Download Citation

Zia-ur Rahman and Daniel J. Jobson "Noise, edge extraction, and visibility of features", Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); https://doi.org/10.1117/12.602733

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