High dynamic range image tone mapping based on asymmetric model of retinal adaptation
作者：
Highlights：
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• A new asymmetric sigmoid curve (ASC) is introduced based on the conventional luminance response model of human eyes.
• Two novel global tone mapping operators are proposed using the ASC.
• The proposed ASC-based global tone mapping operator employs the classic photography technique.
• The proposed contrast-enhancing global tone mapping operator combines the ASC and the HDR image histogram by formulating an optimization problem.
• The proposed tone mapping methods show a high performance to the state-of-the-art global tone mapping operators in two objective evaluations.
摘要
•A new asymmetric sigmoid curve (ASC) is introduced based on the conventional luminance response model of human eyes.•Two novel global tone mapping operators are proposed using the ASC.•The proposed ASC-based global tone mapping operator employs the classic photography technique.•The proposed contrast-enhancing global tone mapping operator combines the ASC and the HDR image histogram by formulating an optimization problem.•The proposed tone mapping methods show a high performance to the state-of-the-art global tone mapping operators in two objective evaluations.
论文关键词：High dynamic range image,Tone mapping operator,Retina response model,Perceptual image processing
论文评审过程：Received 13 March 2018, Revised 30 May 2018, Accepted 15 July 2018, Available online 17 July 2018, Version of Record 27 July 2018.
论文官网地址：https://doi.org/10.1016/j.image.2018.07.008
