Underwater image enhancement via integrated RGB and LAB color models

作者：

Highlights：

• A dedicated fractions-based method to tackle the color shifts of underwater images.

• A local enhancement and exposure cut-off-based histogram to improve local contrast.

• A gain equalization method to trade-off the differences between the A and B channels.

• A detail sharpening method to improve the details and edges of the output image.

摘要

•A dedicated fractions-based method to tackle the color shifts of underwater images.•A local enhancement and exposure cut-off-based histogram to improve local contrast.•A gain equalization method to trade-off the differences between the A and B channels.•A detail sharpening method to improve the details and edges of the output image.

论文关键词：Underwater image color shift,Color correction,Local enhancement,Gain equalization

论文评审过程：Received 8 May 2021, Revised 22 September 2021, Accepted 9 March 2022, Available online 16 March 2022, Version of Record 28 March 2022.

论文官网地址：https://doi.org/10.1016/j.image.2022.116684