Paper
24 January 2011 Adaptive contrast enhancement for underexposed images
Author Affiliations +
Proceedings Volume 7876, Digital Photography VII; 78760X (2011) https://doi.org/10.1117/12.872341
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
In the present article we focus on enhancing the contrast of images with low illumination that present large underexposed regions. For these particular images, when applying the standard contrast enhancement techniques, we also introduce noise over-enhancement within the darker regions. Even if both the contrast enhancement and denoising problems have been widely addressed within the literature, these two processing steps are, in general, independently considered in the processing pipeline. The goal of this work is to integrate contrast enhancement and denoise algorithms to proper enhance the above described type of images. The method has been applied to a proper database of underexposed images. Our results have been qualitatively compared before and after applying the proposed algorithm.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Silvia Corchs, Francesca Gasparini, and Raimondo Schettini "Adaptive contrast enhancement for underexposed images", Proc. SPIE 7876, Digital Photography VII, 78760X (24 January 2011); https://doi.org/10.1117/12.872341
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KEYWORDS
Denoising

Image processing

Image filtering

Signal to noise ratio

Image contrast enhancement

Colorimetry

Databases

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