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Biometric Image Cryptographic Algorithm Based on the Property of Wavelet Transform Coefficient
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 Title & Authors
Biometric Image Cryptographic Algorithm Based on the Property of Wavelet Transform Coefficient
Shin, Jonghong;
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Lossless encryption methods are more applicable than lossy encryption methods when marginal distortion is not tolerable. In this research, the author propose a novel lossless symmetric key encryption/decryption technique. In the proposed algorithm, the image is transformed into the frequency domain using the lifting wavelet transform, then the image sub-bands are encrypted in a such way that guarantees a secure, reliable, and an unbreakable form. The encryption involves scattering the distinguishable frequency data in the image using a reversible weighting factor amongst the rest of the frequencies. The algorithm is designed to shuffle and reverse the sign of each frequency in the transformed image before the image frequencies are transformed back to the pixel domain. The results show a total deviation in pixel values between the original and encrypted image. The decryption algorithm reverses the encryption process and restores the image to its original form. The proposed algorithm is evaluated using standard security and statistical methods; results show that the proposed work is resistant to most known attacks and more secure than other algorithms in the cryptography domain.
Cryptography;Lossless Image Encryption;Wavelet Transform;Coefficient;
 Cited by
Sara Tedmori, Nijad Al-Najdawi, "Image Cryptographic Algorithm Based on the Haar Wavelet Transform," Information Sciences, Vol. 269, 2014, pp. 21-34. crossref(new window)

Y. Chen "Cheating Prevention in Visual Cryptography," IEEE Trans. Image Process., Vol 21, No 7, 2012, pp. 3319-3323. crossref(new window)

Daubechies, I., W. Sweldens, Factoring Wavelet transforms into lifting steps, Asilomar Conference on Signals, Systems, and Computers, 1997.

Shin Jonghong, "Digital Image Processing Using Tunable Q-factor Discrete Wavelet Transformation", Jonghong Shin, The Korea Society of Digital Industry & Information Management, Vol. 10, No. 3, Sep. 2014, pp. 237-247 crossref(new window)

P. P. Vaidynathan, Multirate digital filters, filter banks, polyphase network and applications: A Tutorial, Proceedings of the IEEE. Vol. 78, No. 1, 1990

Park Byeonghoon, Lim Joonghee, Shin Jonghong, "Imaged Cryptographic Algorithm Based on the Lifting Wavelet Transform", 2015 The Korea Society of Digital Industry & Information Management Falling Proceeding, 21th Nov. 2015, pp. 47-51