Night Low-Light Image Enhancement Using Variational Retinex Model and Activation Map

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  • Variational Retinex Modelと活性化マップを用いた夜間低照度画像の鮮明化
  • Variational Retinex Model ト カッセイカ マップ オ モチイタ ヤカン テイショウド ガゾウ ノ センメイカ

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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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