Research on Image Feature Information of Resisting JPEG Compression

Chao Kui Wu; Liang Yong Huang

doi:10.4028/www.scientific.net/AMM.121-126.2190

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Research on Image Feature Information of Resisting...

Research on Image Feature Information of Resisting JPEG Compression

Abstract:

To solve the image feature information on the robustness of JPEG compression problems, we use the third layer of wavelet of images to decompose the approximation sub-band coefficients as the image feature information, analyze the characteristics of the discrete cosine transform in JPEG compression so as to compare the robustness of image feature information under different quality of JPEG compression. The experimental results show that: make the image compression quality factor more than the standard JPEG, the approximate sub-band coefficients of image wavelet as the image feature information has better robustness, and their difference is less than or equal to a smaller threshold.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

2190-2194

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.2190

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Online since:

October 2011

Authors:

Chao Kui Wu, Liang Yong Huang

Keywords:

Approximation Sub-Band Coefficient, Image Features, JPEG Compression, Wavelet

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References

[1] Xiang-Yang Wang, Yi-Ping Yang, Hong-Ying Yang. Invariant image watermarking using multi-scale Harris detector and wavelet moments, Computers and Electrical Engineering. Vol. 36, No. 1, pp: 102-105, (2010).

DOI: 10.1016/j.compeleceng.2009.04.005

Google Scholar

[2] Lai, C. -C. Digital Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition. IEEE Transactions on Instrumentation and Measurement, Vol. 59, No. 11, pp: 78-82, (2010).

DOI: 10.1109/tim.2010.2066770

Google Scholar

[3] Hazem Munawer Al-Otum, Nedal Abdul Samara. A robust blind color image watermarking based on wavelet-tree bit host difference selection. Signal Processing. Vol. 90, No. 8, pp: 45-50, (2010).

DOI: 10.1016/j.sigpro.2010.02.017

Google Scholar

[4] Hsuan T. Chang, Chih-Chung Hsu, Chia-Hung Yeh, Day-Fann Shen. Image authentication with tampering localization based on watermark embedding in wavelet domain. Optical Engineering, Vol. 48, No. 5, pp: 33-36, (2009).

DOI: 10.1117/1.3127192

Google Scholar

[5] LUO Tin, HONG Fan. Wavelet Transform Modulus Maxima-Based Robust Digital Image Watermarking in Wavelet Domain[J]. Journal of Southwest Jiaotong University (English Edition), Vol. 17, No. 1, pp: 1-8, (2009).

Google Scholar

[6] P. MeenakshiDevi；M. Venkatesan；K. Duraiswamy. A Fragile Watermarking Scheme for Image Authentication with Tamper Localization Using Integer Wavelet Transform[J]. Journal of computer sciences, Vol. 5, No. 11, pp: 66-71, (2009).

DOI: 10.3844/jcssp.2009.831.837

Google Scholar