Locally tuned inverse sine nonlinear technique for color image enhancement

Saibabu Arigela; Vijayan K. Asari

doi:10.1117/12.2004505

19 February 2013 Locally tuned inverse sine nonlinear technique for color image enhancement

Saibabu Arigela, Vijayan K. Asari

Proceedings Volume 8655, Image Processing: Algorithms and Systems XI; 865509 (2013) https://doi.org/10.1117/12.2004505
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

In this paper, a novel inverse sine nonlinear transformation based image enhancement technique is proposed to improve the visual quality of images captured in extreme lighting conditions. This method is adaptive, local and simple. The proposed technique consists of four main stages namely histogram adjustment, dynamic range compression, contrast enhancement and nonlinear color restoration. Histogram adjustment on each spectral band is performed to belittle the effect of illumination. Dynamic range compression is accomplished by an inverse sine nonlinear function with a locally tunable image dependent parameter based on the local statistics of each pixel’s neighborhood regions of the luminance image. A nonlinear color restoration process based on the chromatic information and luminance of the original image is employed. A statistical quantitative evaluation is performed with the state of the art techniques to analyze and compare the performance of the proposed technique. The proposed technique is also tested on face detection in complex lighting conditions. The results of this technique on images captured in hazy/foggy weather environment are also presented. The evaluation results confirm that the proposed method can be applied to surveillance, security applications in complex lighting environments.

Citation Download Citation

Saibabu Arigela and Vijayan K. Asari "Locally tuned inverse sine nonlinear technique for color image enhancement", Proc. SPIE 8655, Image Processing: Algorithms and Systems XI, 865509 (19 February 2013); https://doi.org/10.1117/12.2004505

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KEYWORDS

Image enhancement

Image processing

Light sources and illumination

Image compression

Facial recognition systems

Visualization

Image quality

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