Distortion reduction for histogram modification-based reversible data hiding

Chung, Kuo–Liang; Huang, Yong-Huai; Yan, Wen-Ming; Teng, Wei-Chung

doi:10.1016/j.amc.2011.10.056

Cited by 17 publications

(8 citation statements)

References 24 publications

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“…On the contrary, it has the major disadvantage of limited capacity for embedding. Therefore, by using the histogram-based algorithm, how to effectively increase the capacity while keeping the output image quality is a major concern in many works (Chung, Huang, Yan, & Teng, 2012;Feng & Fan, 2012;Lee & Huang, 2012).…”

Section: Discussion Between the Histogram-and De-based Schemesmentioning

confidence: 99%

Hierarchy-based reversible data hiding

Huang

Chang

2013

Expert Systems with Applications

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Section: Discussion Between the Histogram-and De-based Schemesmentioning

confidence: 99%

Hierarchy-based reversible data hiding

Huang

Chang

2013

Expert Systems with Applications

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“…Pixel Value Differencing [9] is able to provide a high quality stegno image in spite of the high capacity of the concealed information. That is, the nu mber of insertion bits is dependent on whether the pixel is an edge area or s mooth area.…”

Section: Pixel Value Differencingmentioning

confidence: 99%

Snake and ladder based algorithm for steganographic application of specific streamline bits on prime gap method

Sheth¹

2014

2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

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“…Sometime the histogram based schemes introduce the distortion in the stego-image that leads to deterioration of the image quality. Chung et al [10] discuss a histogram modification-based reversible data hiding scheme that tries to reduce the distortion in the stego-image. Hong and Chen [12] discuss a method for reversible data hiding by using interpolation and histogram shifting.…”

Section: Previous Workmentioning

confidence: 99%

A reversible high capacity data hiding scheme using pixel value adjusting feature

Kumar

Chand

2014

Multimed Tools Appl

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In this paper, we propose a new reversible data hiding scheme that uses pixel value adjusting feature. It has two phases. In first phase, It scans the image diagonally from left to right and hides the some of the secret data into the odd valued pixels. In second phase, it also scans the image diagonally but in right to left order and hides the secret data into the even valued pixels. In the second phase, some of the pixels used for hiding in the first phase are again used to hide the secret data but this time their values are positively changed. In other words, if a pixel value is decremented in the first phase; this time, it is incremented so that more secret data can be embedded and the quality of the stego-image is also maintained. Though, our scheme has some overhead in hiding the secret data, yet it is able to provide good quality with high capacity. The scheme is very simple because at the time of hiding it doesn't perform much computation; rather it simply increases or decreases the pixel value. Thus, it has very low computational complexity. The experimental results show that our proposed scheme is superior to many existing schemes.

show abstract

Distortion reduction for histogram modification-based reversible data hiding

Cited by 17 publications

References 24 publications

Hierarchy-based reversible data hiding

Hierarchy-based reversible data hiding

Snake and ladder based algorithm for steganographic application of specific streamline bits on prime gap method

A reversible high capacity data hiding scheme using pixel value adjusting feature

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