A robust image enhancement technique for improving image visual quality in shadowed scenes

Authors:
Li Tao;Vijayan K. Asari
Affiliations:
Computational Intelligence and Machine Vision Laboratory, Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA;Computational Intelligence and Machine Vision Laboratory, Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA
Venue:
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Year:
2005

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Abstract

An effective and robust image enhancement algorithm is presented for improving the visual quality of digital images captured under extremely low or non-uniform lighting conditions. The proposed algorithm is composed of two separated processes viz. adaptive luminance enhancement and adaptive contrast enhancement to provide a more flexible and better control over the image enhancement. Adaptive luminance enhancement is an intensity transformation based on a specifically designed nonlinear transfer function which largely increases the luminance of darker pixels and compresses the dynamic range as well. Adaptive contrast enhancement adjusts the intensity of each pixel based on its relative magnitude with respect to the neighboring pixels. Both processes can be self-tuned by the image statistical information. A proportional color restoration process is applied to convert the enhanced intensity image back to a color image. Real time processing and embedded application in mobile device have been successfully realized.