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Proceedings Paper

Distorted image enhancement by the nonlinear local histogram modification method
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Paper Abstract

Image enhancement and evaluation play an important role in modern information and measurement technologies. Because of the physical and technical limitations the obtained images are often distorted by noise influence and low resolution. Image enhancement provided by a conventional linear filtering and known standard smoothing methods can be not effective due to a contrast reduction. Image enhancement can be provided effectively by the adaptive nonlinear algorithms such as local gray-level histogram modification method recently investigated with application to images of special class like moire fringe patterns. This method was developed for noise suppression without decreasing the image contrast. It can be used for solving the image enhancement and restoration problems with application to different image kinds inherent in the remote sensing technologies.

Paper Details

Date Published: 28 January 2002
PDF: 8 pages
Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); doi: 10.1117/12.454174
Show Author Affiliations
Igor P. Gurov, St. Petersburg Institute of Fine Mechanics and Optics (Russia)
Mikhail V. Volkov, St. Petersburg Institute of Fine Mechanics and Optics (Russia)

Published in SPIE Proceedings Vol. 4541:
Image and Signal Processing for Remote Sensing VII
Sebastiano Bruno Serpico, Editor(s)

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