Joint fingerprinting and decryption with noise-resistant for vector quantization images

Authors:
Chih-Yang Lin;Panyaporn Prangjarote;Li-Wei Kang;Wei-Lun Huang;Tzung-Her Chen
Affiliations:
Department of Computer Science & Information Engineering Asia University, Taichung, Taiwan, ROC;Department of Computer Science & Information Engineering Asia University, Taichung, Taiwan, ROC;Institute of Information Science, Academia Sinica, Taipei, Taiwan, ROC;Department of Computer Science & Information Engineering National Chiayi University, Chiayi, Taiwan, ROC;Department of Computer Science & Information Engineering National Chiayi University, Chiayi, Taiwan, ROC
Venue:
Signal Processing
Year:
2012

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Abstract

With the popularity of the Internet and development of multimedia technology, media distribution and traitor tracing issues have become critical and urgent. In this paper, a joint fingerprinting and decryption (JFD) scheme based on vector quantization is proposed with the purpose of protecting media distribution. The proposed JFD scheme is equipped with two encryption techniques, which are performed on the server side. The first technique encrypts plain-images using static key-trees, but the second approach uses dynamic key-trees to further simplify the first method. When the subscriber receives the encrypted images, these images are jointly decrypted and fingerprinted and are slightly different from the original images. The proposed method, to the best of our knowledge, is the first JFD method for vector quantization (VQ) compressed images. The experimental results show that the encrypted image is unintelligible and that the recovered image has desirable image quality resistant to noise interference.