Paper
2 October 2008 Image enhancement for noisy color imagery
Author Affiliations +
Proceedings Volume 7113, Electro-Optical and Infrared Systems: Technology and Applications V; 71131A (2008) https://doi.org/10.1117/12.800274
Event: SPIE Security + Defence, 2008, Cardiff, Wales, United Kingdom
Abstract
Recently new techniques for night vision cameras are developed. So-called EMCCD cameras are able to record color information about the scene. However, in low-light situations this imagery becomes noisy. This is also the case for normal CCD cameras in dark situations or in shadowed areas. In this paper we present image enhancement techniques for noisy color imagery. The techniques are based on grey-value image enhancement techniques, in particular dynamic super-resolution reconstruction, which is used to enhance the lightness of the image, and local adaptive contrast enhancement. With the super-resolution technique the temporal noise in the lightness channel of the imagery is removed. The color information of the images is spatially filtered using the edge information of the enhanced lightness image. The result is colored output imagery with reduced temporal noise.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Judith Dijk and Richard J. M. den Hollander "Image enhancement for noisy color imagery", Proc. SPIE 7113, Electro-Optical and Infrared Systems: Technology and Applications V, 71131A (2 October 2008); https://doi.org/10.1117/12.800274
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image enhancement

Denoising

RGB color model

Super resolution

Image filtering

Cameras

Optical filters

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