Adaptive sigmoid function bihistogram equalization for image contrast enhancement

Edgar F. Arriaga-Garcia; Raul E. Sanchez-Yanez; Jose Ruiz-Pinales; Ma. de Guadalupe Garcia-Hernandez

doi:10.1117/1.JEI.24.5.053009

10 September 2015 Adaptive sigmoid function bihistogram equalization for image contrast enhancement

Edgar F. Arriaga-Garcia, Raul E. Sanchez-Yanez, Jose Ruiz-Pinales, Ma. de Guadalupe Garcia-Hernandez

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 5, 053009 (September 2015). https://doi.org/10.1117/1.JEI.24.5.053009

Abstract

Contrast enhancement plays a key role in a wide range of applications including consumer electronic applications, such as video surveillance, digital cameras, and televisions. The main goal of contrast enhancement is to increase the quality of images. However, most state-of-the-art methods induce different types of distortion such as intensity shift, wash-out, noise, intensity burn-out, and intensity saturation. In addition, in consumer electronics, simple and fast methods are required in order to be implemented in real time. A bihistogram equalization method based on adaptive sigmoid functions is proposed. It consists of splitting the image histogram into two parts that are equalized independently by using adaptive sigmoid functions. In order to preserve the mean brightness of the input image, the parameter of the sigmoid functions is chosen to minimize the absolute mean brightness metric. Experiments on the Berkeley database have shown that the proposed method improves the quality of images and preserves their mean brightness. An application to improve the colorfulness of images is also presented.

Citation Download Citation

Edgar F. Arriaga-Garcia, Raul E. Sanchez-Yanez, Jose Ruiz-Pinales, and Ma. de Guadalupe Garcia-Hernandez "Adaptive sigmoid function bihistogram equalization for image contrast enhancement," Journal of Electronic Imaging 24(5), 053009 (10 September 2015). https://doi.org/10.1117/1.JEI.24.5.053009

Published: 10 September 2015

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