Wavelet-based high-capacity lossless image hiding and its application

Yizhan Zheng; Chengyun Yang; Guorong Xuan; Liansheng Liu; Weizhao Bai; Yun-Qing Shi

Wavelet-based high-capacity lossless image hiding and its application

Yizhan Zheng, Chengyun Yang, Guorong Xuan, Liansheng Liu, Weizhao Bai, Yun-Qing Shi

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents an integer wavelet-based invertible high-capacity data-hiding method for digital images. According to the frequency sensibility result of HVS study, high capacity (up to 1/2 of the data volume that original image occupies) secret information can be hidden into the least significant bit-planes of wavelet coefficients. Histogram modification is introduced to meet overflow/underflow in inverse wavelet transformation. As multi-resolution and correlation decomposition, which are the superiority of wavelet decomposition, are fully employed, this method can achieve both high-capacity and low distortion. The proposed data-hiding method is applied to E-government and good result is achieved.

Original language	English (US)
Pages (from-to)	56-59
Number of pages	4
Journal	Jisuanji Gongcheng/Computer Engineering
Volume	31
Issue number	1
State	Published - Jan 5 2005
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Software

Cite this

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title = "Wavelet-based high-capacity lossless image hiding and its application",

abstract = "This paper presents an integer wavelet-based invertible high-capacity data-hiding method for digital images. According to the frequency sensibility result of HVS study, high capacity (up to 1/2 of the data volume that original image occupies) secret information can be hidden into the least significant bit-planes of wavelet coefficients. Histogram modification is introduced to meet overflow/underflow in inverse wavelet transformation. As multi-resolution and correlation decomposition, which are the superiority of wavelet decomposition, are fully employed, this method can achieve both high-capacity and low distortion. The proposed data-hiding method is applied to E-government and good result is achieved.",

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AU - Zheng, Yizhan

AU - Yang, Chengyun

AU - Xuan, Guorong

AU - Liu, Liansheng

AU - Bai, Weizhao

AU - Shi, Yun-Qing

PY - 2005/1/5

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N2 - This paper presents an integer wavelet-based invertible high-capacity data-hiding method for digital images. According to the frequency sensibility result of HVS study, high capacity (up to 1/2 of the data volume that original image occupies) secret information can be hidden into the least significant bit-planes of wavelet coefficients. Histogram modification is introduced to meet overflow/underflow in inverse wavelet transformation. As multi-resolution and correlation decomposition, which are the superiority of wavelet decomposition, are fully employed, this method can achieve both high-capacity and low distortion. The proposed data-hiding method is applied to E-government and good result is achieved.

AB - This paper presents an integer wavelet-based invertible high-capacity data-hiding method for digital images. According to the frequency sensibility result of HVS study, high capacity (up to 1/2 of the data volume that original image occupies) secret information can be hidden into the least significant bit-planes of wavelet coefficients. Histogram modification is introduced to meet overflow/underflow in inverse wavelet transformation. As multi-resolution and correlation decomposition, which are the superiority of wavelet decomposition, are fully employed, this method can achieve both high-capacity and low distortion. The proposed data-hiding method is applied to E-government and good result is achieved.

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Wavelet-based high-capacity lossless image hiding and its application

Abstract

All Science Journal Classification (ASJC) codes

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