A Novel Low Illumination Image Enhancement Algorithm

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)


On the purpose of the better visibility and understanding for low illumination images, the proposed method improved the homogeneity measurement with fuzzy entropy and fractal dimension, in order to select the reasonable pixels in the pending sub-region and reduce noises as possibly. It was experimented on large of low illumination images and evaluated by using the metrics for the enhanced images, the results proved that the proposed method was efficient for avoiding over-enhancement and preserving better light and dark contrast and details.


Low illumination Homogeneity measurement Fuzzy entropy Membership Image enhancement 


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of Information and Electric EngineeringChina University of Mining and TechnologyJiangsu XuzhouChina

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