Three dimensional alpha weighted quadratic filter based image color contrast enhancement

Chen Gao; Karen Panetta; Sos Agaian

doi:10.1117/12.2015619

28 May 2013 Three dimensional alpha weighted quadratic filter based image color contrast enhancement

Chen Gao, Karen Panetta, Sos Agaian

Proceedings Volume 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013; 875514 (2013) https://doi.org/10.1117/12.2015619
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

In this paper, we introduce a new spatial domain color contrast enhancement algorithm based on the three dimensional alpha weighted quadratic filter (3DAWQF). The goal of this work is to utilize the characteristics of the nonlinear filter to enhance image contrast while recovering the color information. For images with less than desirable illumination, a modified Naka-Rushton function is proposed to adjust the underexposed or overexposed intensities in the image. We also present a new image contrast measure called the Root Mean Enhancement (RME) to model Root Mean Square (RMS) contrast in image sub-blocks. A color RME contrast measure CRME is also proposed based on the RME contrast in the RGB color sub-cubes. The new measures help choose the optimal operating parameters for enhancement algorithms, thus improving the practicality for using quadratic filters in image processing applications. We demonstrate the effectiveness of the proposed methods on a variety of images. Experimental results show that the 3DAWQF can enhance the image contrast and color efficiently and effectively. Comparisons with existing state of the art algorithms will be also presented.

Citation Download Citation

Chen Gao, Karen Panetta, and Sos Agaian "Three dimensional alpha weighted quadratic filter based image color contrast enhancement", Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 875514 (28 May 2013); https://doi.org/10.1117/12.2015619

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