Low-light Image Enhancement Algorithm Based on Retinex and Generative Adversarial Network

no code implementations • 14 Jun 2019 • Yangming Shi, Xiaopo Wu, Ming Zhu

In this work, the authors propose a novel approach for processing low-light images based on the Retinex theory and generative adversarial network (GAN), which is composed of the decomposition part for splitting the image into illumination image and reflected image, and the enhancement part for generating high-quality image.

Generative Adversarial Network Low-Light Image Enhancement