Share Email Print

Proceedings Paper

Innovative algorithm for cast detection
Author(s): Francesca Gasparini; Raimondo Schettini; Paolo Gallina
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 20 December 2001
PDF: 7 pages
Proc. SPIE 4672, Internet Imaging III, (20 December 2001); doi: 10.1117/12.452683
Show Author Affiliations
Francesca Gasparini, CNR (Italy)
Raimondo Schettini, CNR (Italy)
Paolo Gallina, Olivetti I-Jet SpA (Italy)

Published in SPIE Proceedings Vol. 4672:
Internet Imaging III
Giordano B. Beretta; Raimondo Schettini, Editor(s)

© SPIE. Terms of Use
Back to Top