Paper
20 December 2001 Innovative algorithm for cast detection
Author Affiliations +
Proceedings Volume 4672, Internet Imaging III; (2001) https://doi.org/10.1117/12.452683
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
The paper describes a method for detecting a color cast (i.e. a superimposed dominant color) in a digital image without any a priori knowledge of its semantic content. The color gamut of the image is first mapped in the CIELab color space. The color distribution of the whole image and of the so-called Near Neutral Objects (NNO) is then investigated using statistical tools then, to determine the presence of a cast. The boundaries of the near neutral objects in the color space are set adaptively by the algorithm on the basis of a preliminary analysis of the image color gamut. The method we propose has been tuned and successfully tested on a large data set of images, downloaded from personal web-pages or acquired using various digital and traditional cameras.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francesca Gasparini, Raimondo Schettini, and Paolo Gallina "Innovative algorithm for cast detection", Proc. SPIE 4672, Internet Imaging III, (20 December 2001); https://doi.org/10.1117/12.452683
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Colorimetry

Digital imaging

Detection and tracking algorithms

Image processing

Image analysis

Cameras

Light sources and illumination

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