Low-light image enhancement using Gaussian Process for features retrieval

作者：

Highlights：

• Gaussian Process with CNN data is proposed for lowlight image contrast enhancement.

• Enhancement aimed for high level computer vision applications instead of aesthetics.

• New evaluation metrics are proposed.

• Proposed method shows competitive results with the state-of-the-art.

摘要

•Gaussian Process with CNN data is proposed for lowlight image contrast enhancement.•Enhancement aimed for high level computer vision applications instead of aesthetics.•New evaluation metrics are proposed.•Proposed method shows competitive results with the state-of-the-art.

论文关键词：Low-light,Image enhancement,Gaussian Process,Convolutional neural network

论文评审过程：Received 6 November 2018, Revised 25 January 2019, Accepted 1 February 2019, Available online 14 February 2019, Version of Record 7 March 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.02.001