A contrast enhancement framework under uncontrolled environments based on just noticeable difference

作者：

Highlights：

• We proposed 4 modules: MBBDHE, Reference Enhancement, Regional Contrast Information Acquisition, and Brightness Readjustment.

• We proposed a novel bi-histogram equalization method (MBBDHE) and introduced the bidirectional enhancement scheme.

• We proposed a scheme to regulate enhancement using the regional contrast based on the just-noticeable-difference (JND).

• We propose a scheme to categorize images to evaluate the performance of HE algorithms on images from different categories.

摘要

•We proposed 4 modules: MBBDHE, Reference Enhancement, Regional Contrast Information Acquisition, and Brightness Readjustment.•We proposed a novel bi-histogram equalization method (MBBDHE) and introduced the bidirectional enhancement scheme.•We proposed a scheme to regulate enhancement using the regional contrast based on the just-noticeable-difference (JND).•We propose a scheme to categorize images to evaluate the performance of HE algorithms on images from different categories.

论文关键词：Contrast enhancement,Image enhancement,Histogram equalization

论文评审过程：Received 26 October 2021, Revised 29 December 2021, Accepted 27 January 2022, Available online 2 February 2022, Version of Record 18 February 2022.

论文官网地址：https://doi.org/10.1016/j.image.2022.116657