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J. Imaging 2017, 3(3), 35; doi:10.3390/jimaging3030035

Color Consistency and Local Contrast Enhancement for a Mobile Image-Based Change Detection System

Advanced Visionics and Processing Group, French-German Research Institute of Saint-Louis, 5 rue du Général Cassagnou, 68300 Saint-Louis, France
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Received: 30 June 2017 / Revised: 31 July 2017 / Accepted: 8 August 2017 / Published: 23 August 2017
(This article belongs to the Special Issue Color Image Processing)
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Abstract

Mobile change detection systems allow for acquiring image sequences on a route of interest at different time points and display changes on a monitor. For the display of color images, a processing approach is required to enhance details, to reduce lightness/color inconsistencies along each image sequence as well as between corresponding image sequences due to the different illumination conditions, and to determine colors with natural appearance. We have developed a real-time local/global color processing approach for local contrast enhancement and lightness/color consistency, which processes images of the different sequences independently. Our approach combines the center/surround Retinex model and the Gray World hypothesis using a nonlinear color processing function. We propose an extended gain/offset scheme for Retinex to reduce the halo effect on shadow boundaries, and we employ stacked integral images (SII) for efficient Gaussian convolution. By applying the gain/offset function before the color processing function, we avoid color inversion issues, compared to the original scheme. Our combined Retinex/Gray World approach has been successfully applied to pairs of image sequences acquired on outdoor routes for change detection, and an experimental comparison with previous Retinex-based approaches has been carried out. View Full-Text
Keywords: color consistency; local contrast enhancement; Retinex; change detection color consistency; local contrast enhancement; Retinex; change detection
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Tektonidis, M.; Monnin, D. Color Consistency and Local Contrast Enhancement for a Mobile Image-Based Change Detection System. J. Imaging 2017, 3, 35.

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