TY - GEN
T1 - Image quality assessment in reversible data hiding with contrast enhancement
AU - Wu, Hao Tian
AU - Tang, Shaohua
AU - Shi, Yun Qing
N1 - Funding Information:
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).
Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Contrast enhancement
KW - Image quality assessment
KW - Reversible data hiding
KW - Visual quality
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U2 - 10.1007/978-3-319-64185-0_22
DO - 10.1007/978-3-319-64185-0_22
M3 - Conference contribution
AN - SCOPUS:85028454212
SN - 9783319641843
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 290
EP - 302
BT - Digital Forensics and Watermarking - 16th International Workshop, IWDW 2017, Proceedings
A2 - Shi, Yun-Qing
A2 - Kim, Hyoung Joong
A2 - Kraetzer, Christian
A2 - Dittmann, Jana
PB - Springer Verlag
T2 - 16th International Workshop on Digital Forensics and Watermarking, IWDW 2017
Y2 - 23 August 2017 through 25 August 2017
ER -