Author : Megha Kolhekar 1
Date of Publication :7th October 2015
Abstract: A poor image puts a contrast constraint to the human eye visibility at night,which is one of the main reasons for increase in accidents at night.Digital Night Vision Enhancement is a processing technique to improve night vision by image processing. These techniques can enhance the images captured by ordinary cameras under low light conditions and can be implemented completely in software. This work deals with few basic techniques like histogramequalization,adaptive histogram equalization, contrast limited adaptive histogram equalization and their implementation using python. Also the related work in this field and proposed work using homomorphic filtering has been discussed in brief
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[1]Kare Rumar, Night Vision Enhancement System: What should they do and what more do we need to know?. The University of Michigan, Transportation Research Institute, 2901 Baxter Road, Ann Arbor, Michigan, U.S.A.
[2]NishikarSapkota, Real Time Digital Night Vision Using Nonlinear Contrast Enhancement, in ―Masters Theses,‖ University of Nevada, Las Vegas.
[3]Erik Hollnagel and Jan-Erik Kallhammer, Effects of a Night Vision Enhancement System on Driving, University of Linkoping, Autoliv Research, Swden.
[4]Peter Mayer and George Edelmayer, Electronic Vision Enhancement System, JURCA Optoelectronic GmbH, Eschborn, Germany.
[5]XueboJin, JiaBao and Jingjing Du, Image Enhancement Based On Selective-Retinex Fusion Algorithm,in ―Journal of Software,‖ vol 7, No. 6, June 2012.
[6]Omer Tsimhoni and Paul Green, Night Vision Enhancement Systems for Ground Vehicles: The Human Factors Literature, Technical Report, No. 5, The University of Michigan, Transportation Research Institue, U.S.A.