Special Section on Quality Control by Artificial Vision

Color image enhancement based on the discrete cosine transform coefficient histogram

[+] Author Affiliations
Karen Panetta

Tufts University, Department of Electrical and Computer Engineering, Medford, Massachusetts 02155

Junjun Xia

Tufts University, Department of Electrical and Computer Engineering, Medford, Massachusetts 02155

Sos Agaian

Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas 78249

J. Electron. Imaging. 21(2), 021117 (May 10, 2012). doi:10.1117/1.JEI.21.2.021117
History: Received September 26, 2011; Revised March 2, 2012; Accepted March 16, 2012
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Abstract.  This paper presents a new technique for contrast enhancement for color images called histogram shifting with alpha rooting. The novelty in the presented method consists in adapting spatial domain techniques into the transform domain. The benefits of operating in the transform domain include low complexity of computations, ease of viewing, and manipulation of the frequency composition of the image and preservation of the phase information. The combination of the alpha-rooting algorithm, coupled with histogram shifting shows the method’s effectiveness for enhancing overexposed images. The contrast enhancement parameter of the algorithm is established automatically based on the entropy of the images. A comprehensive comparative study on image-enhancement algorithms based on discrete cosine transform coefficients is provided. Computer simulations and analysis are provided to compare the enhancement performance of the proposed technique to state of the art approaches. We perform a statistical analysis on the results and quantitatively show that the proposed approach performs well for color image enhancement, which is also validated by ratings from human observers.

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© 2012 SPIE and IS&T

Citation

Karen Panetta ; Junjun Xia and Sos Agaian
"Color image enhancement based on the discrete cosine transform coefficient histogram", J. Electron. Imaging. 21(2), 021117 (May 10, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.021117


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