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Image Quality Assessment in Reversible Data Hiding with Contrast Enhancement

  • Hao-Tian Wu
  • Shaohua Tang
  • Yun-Qing Shi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10431)

Abstract

In this paper, image quality assessment (IQA) in reversible data hiding with contrast enhancement (RDH-CE) is studied. Firstly, the schemes of RDH-CE are reviewed, with which image contrast can be enhanced without any information loss. Secondly, the limitations of using the peak signal-to-noise ratio (PSNR) to indicate image quality in the scenario of RDH-CE are discussed. Subsequently, three no-reference IQA metrics and four metrics specially designed for contrast-changed images are adopted, in addition to PSNR and structural similarity (SSIM) index. By using these metrics, the evaluation results on the contrast-enhanced images generated with two RDH-CE schemes are obtained and compared. The experimental results have shown that the no-reference IQA metrics, the blind/referenceless image spatial quality evaluator (BRISQUE) for instance, are more suitable than PSNR and SSIM index for the images that have been enhanced by the RDH-CE schemes. Furthermore, how to use the suitable IQA metrics has been discussed for performance evaluation of RDH-CE schemes.

Keywords

Image quality assessment Contrast enhancement Reversible data hiding Visual quality 

Notes

Acknowledgment

This work was supported by National Natural Science Foundation of China (No. 61632013), Natural Science Foundation of Jiangsu Province of China (No. BK20151131), Guangdong Provincial Natural Science Foundation of China (No. 2014A030308006), Guangdong Provincial Project of Science and Technology of China (No. 2016B090920081), and SCUT Fundamental Research Funds for the Central Universities of China (No. 2017MS038).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringSouth China University of TechnologyGuangzhouPeople’s Republic of China
  2. 2.Department of Electrical and Computer EngineeringNew Jersey Institute of TechnologyNewarkUSA

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