Hyper edge detection with clustering for data hiding
- Publication Type:
- Journal Article
- Citation:
- Journal of Information Hiding and Multimedia Signal Processing, 2016, 7 (1), pp. 1 - 10
- Issue Date:
- 2016-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
 | jihmsp-sample.pdf | Accepted Manuscript Version | 1.13 MB |
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© 2016. Hiding of information is a great significance in information security. For information security and intellectual property, effective methods are required. Steganography is the art of hiding information in such a way that it cannot produce distrust about its presence. In this way only the sender and recipient are aware of hidden information. There are two critical characteristics of steganography which are as stego image imperceptibility and payload capacity. Recently, many edge detection based steganogaphy approaches have been developed to provide high imperceptibility of the stego image. However, the capacity of these approaches can be limited. This paper presents an effective edge detection method based on gradient, 9x9 mask of LOG and zero crossing in combination with clustering to classify the image to edge and non-edge regions. Different amount of secret message will be hidden in each cluster after the detection of the edge regions. It declares the stability between stego image imperceptibility and high payload capacity.
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