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Assessing information content in color images

[+] Author Affiliations
Vassilis Tsagaris

University of Patras, Physics Department, Electronics Laboratory, Padras 026500 Greece

Vassilis Anastassopoulos

University of Patras, Physics Department, Electronics Laboratory, Padras 026500 Greece

J. Electron. Imaging. 14(4), 043007 (December 12, 2005). doi:10.1117/1.2137641
History: Received July 22, 2004; Revised March 25, 2005; Accepted April 07, 2005; Published December 12, 2005; Online December 12, 2005
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The Kullback-Leibler (KL) divergence, which is a fundamental concept in information theory used to quantify probability density differences, is employed in assessing the color content of digital images. For this purpose, digital images are encoded in the CIELAB color space and modeled as discrete random fields, which are assumed to be described sufficiently by 3-D probability density functions. Subsequently, using the KL divergence, a global quality assessment of an image is presented as the information content of the CIELAB encoding of the image relative to channel capacity. This is expressed by an image with “maximum realizable color information” (MRCI), which we define. Additionally, 1-D estimates of the marginal distributions in luminance, chroma, and hue are explored, and the proposed quality assessment is examined relative to KL divergences based on these distributions. The proposed measure is tested using various color images, pseudocolor representations and different renderings of the same scene. Test images and a MATLAB implementation of the measure are available online at http://www.ellab.physics.upatras.gr/PersonalPages/VTsagaris/research.htm.

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Citation

Vassilis Tsagaris and Vassilis Anastassopoulos
"Assessing information content in color images", J. Electron. Imaging. 14(4), 043007 (December 12, 2005). ; http://dx.doi.org/10.1117/1.2137641


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