Anticipatory quality assessment metric for measuring data hiding imperceptibility
- Publication Type:
- Journal Article
- Citation:
- Journal of Information Hiding and Multimedia Signal Processing, 2017, 8 (2), pp. 404 - 412
- Issue Date:
- 2017-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| JIH-MSP-2017-02-014.pdf | Published Version | 457.19 kB |
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© 2017 ISSN. Steganography is the art of writing concealed information in a way that it cannot arouse suspicion about its existence. The hidden data must not raise the attention of attackers to the existence of secret information in the host image. Therefore, ensuring high imperceptibility of the steganography is very essntial. Imperceptibility evaluation of the stego file can be determined by subjective or objective evaluation. Subjective evaluation is based on human judgment and opinion determining visual quality. This kind of evaluation, is not efficient as it is expensive, time consuming, and in any way cannot be referred to as an automatic system. On the other hand, objective metrics are based on mathematical concepts and might have poor correlation with subjective evaluation. This paper focuses on predicting the subjective quality using anticipatory objective Image Quality metric (IQM). The primary objective of this paper is to develop a systematic method of using HVS for image quality assessment. Moreover, the new metric method use a mathematical approaches for image quality measures predict the image quality measure basing on human perception.
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