Recent Advances in Information Hiding and Applications by Shuai Yue, Zhi-Hui Wang, Chin-Chen Chang (auth.),

By Shuai Yue, Zhi-Hui Wang, Chin-Chen Chang (auth.), Jeng-Shyang Pan, Hsiang-Cheh Huang, Lakhmi C Jain, Yao Zhao (eds.)

This examine ebook offers a pattern of modern advances in info hiding strategies and their purposes. It includes:

Image information hiding scheme in line with vector quantization and picture graph coloring

The copyright safeguard approach for Android platform

Reversible facts hiding

ICA-based picture and video watermarking

Content-based invariant photo watermarking

Single bitmap block truncation coding of colour pictures utilizing cat swarm optimization

Genetic-based wavelet packet watermarking for copyright protection

Lossless textual content steganography in compression coding

Fast and low-distortion skill acoustic synchronized acoustic-to-acoustic steganography scheme

Video watermarking with shot detection.

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Extra info for Recent Advances in Information Hiding and Applications

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4. Both test results and performance comparisons were provided in Sec. 5. We conclude this chapter in Sec. 6. 2 Coefficient Adjustment Algorithm The proposed coefficient adjustment (CA) algorithm mainly consists of three steps, which are block-mean removal, pixel squeezing, and pixel isolation. To provide a large hiding space, the mean removal firstly generates the differenced blocks from an input image. Then, the pixel squeezing approach further provides hiding storage, while the pixel isolation approach minimizes distortion.

The vulnerabilities of various operating systems (and applications), hosts (and servers) can be exploited by malicious users. -S. Pan et al. ): Recent Advances in Information Hiding and Applications, ISRL 40, pp. 33–52. -Y. -C. Hu accounts and passwords, and private documents, may not be adequately secure. Data hiding techniques [6, 20, 23] provide an alternative solution for protecting (or securing) data. Some data hiding schemes [5],[21, 22],[30],[32],[34] are irreversible, meaning that an original host medium cannot be completely recovered by the receiver after data have been extracted.

Techniques for data hiding. IBM Systems Journal 35, 313–336 (1996) 11. : Adaptive watermarking using relationships between wavelet coefficients. In: Proc. IEEE International Symposium on Circuits and Systems, pp. 4979–4982 (2005) 12. : Interpolation of images using discrete wavelet transform to simulate image resizing as in human vision. tw Summary. This chapter presents three reversible data hiding schemes based on coefficient adjustment algorithm. The proposed coefficient adjustment (CA) algorithm mainly consists of three steps, which are block-mean removal, pixel squeezing, and pixel isolation.

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