Contrast enhancement by multi-level histogram shape segmentation with adaptive detail enhancement for noise suppression

作者：

Highlights：

• Apply different techniques to enhance image background and details separately.

• Novel multi-level histogram shape segmentation avoids over-enhancing image background.

• Novel adaptive median based detail enhancement reduces noise in homogeneous regions.

• Separation of edges from details using an edge-preserving filter avoids halo effects.

摘要

•Apply different techniques to enhance image background and details separately.•Novel multi-level histogram shape segmentation avoids over-enhancing image background.•Novel adaptive median based detail enhancement reduces noise in homogeneous regions.•Separation of edges from details using an edge-preserving filter avoids halo effects.

论文关键词：Contrast enhancement,Histogram shape segmentation,Histogram equalization,Detail separation,Guided image filter

论文评审过程：Received 31 July 2018, Revised 5 October 2018, Accepted 31 October 2018, Available online 12 November 2018, Version of Record 26 November 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.10.011