Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan
Reports of the 286th Technical Conference of the Institute of Image Electronics Engineers of Japan
Session ID : 18-01-06
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Night Low-Light Image Enhancement Using Variational Retinex Model and Activation Map
*Kazuki KURIHARAHiromi YOSHIDAYoji IIGUNI
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Abstract

The illumination enhancement is important for the computer vision applications using outdoor. Although many studies have been reported to solve this problem, they contain various problems. Therefore, we used a method combining variational retinex model and bright channel prior to suppress contrast over-emphasis and noise. We also reduced the computational cost by using FFT as a method to solve the quadratic optimization problem. Furthermore, in order to suppress blur artifacts, we used activation map changed to a form applicable to night images. In our experiments, we confirmed the effectiveness of our method, and improvement of detection accuracy by object detection algorithm.

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© 2018 by The Institute of Image Electronics Engineers of Japan
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