Automatic assessment and reduction of noise using edge pattern analysis in non-linear image enhancement

Daniel J. Jobson; Zia-ur Rahman; Glenn A. Woodell; Glenn D. Hines

doi:10.1117/12.539786

15 July 2004 Automatic assessment and reduction of noise using edge pattern analysis in non-linear image enhancement

Daniel J. Jobson, Zia-ur Rahman, Glenn A. Woodell, Glenn D. Hines

Proceedings Volume 5438, Visual Information Processing XIII; (2004) https://doi.org/10.1117/12.539786
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Noise is the primary visibility limit in the process of non-linear image enhancement, and is no longer a statistically stable additive noise in the post-enhancement image. Therefore novel approaches are needed to both assess and reduce spatially variable noise at this stage in overall image processing. Here we will examine the use of edge pattern analysis both for automatic assessment of spatially variable noise and as a foundation for new noise reduction methods.

Citation Download Citation

Daniel J. Jobson, Zia-ur Rahman, Glenn A. Woodell, and Glenn D. Hines "Automatic assessment and reduction of noise using edge pattern analysis in non-linear image enhancement", Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); https://doi.org/10.1117/12.539786

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