Enhancement of Night Vision Images

22 Oct 2014
Enhancement of algorithms for Night Vision of Traffic Images
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Enhancement of algorithms for Night Vision of Traffic Images


In systems of reading motor vehicle license plate is frequent to use a dual head system: the first head performs the reading of license plate, the second head is used as the camera of the context in order to have an image with a wider field of view which documents the passage of the vehicle and possibly allows you to make out the vehicle shape. The aim of the project is to enhance image of night traffic in order to improve the quality of the picture both on license plates and on vehicle shapes, and compare the various tecnhiques in order to emphasize the advantages and disadvantages of each one.

The analyzed and compared algorithms are:

- histogram equalization;

- adaptive histogram equalization;

- clipping level histogram equalization;

- retinex;

- ace.





[1] Wang Zhiming, Tao Jianhua, A Fast Implementation of Adaptive Histogram Equalization. School of Information Engineering, University of Science and Technology Beijing, Beijing China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing China, 2006 8th International Conference (Volume:2)DOI:http://dx.doi.org/10.1109/ICOSP.2006.345602
[2] Alessandro Rizzi; Carlo Gatta and Daniele Marini From Retinex to Automatic Color Equalization: issues in developing a new algorithm for unsupervised color equalization J. Electron. Imaging. 13(1), 75-84 (Jan 01, 2004). DOI:http://dx.doi.org/10.1117/1.1635366
[3] Pascal Getreuer Automatic Color Enhancement (ACE) and its Fast Implementation,Image Processing On Line, 2 (2012), pp.266 - 277 DOI: http://dx.doi.org/10.5201/ipol.2012.g-ace