Discrete cosine transform and hash functions toward implementing a (robust-fragile) watermarking scheme

Author(s):  
Saeed Al-Mansoori ◽  
Alavi Kunhu
2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Jinyu Lu ◽  
Tao Qu ◽  
Hamid Reza Karimi

A novel iris biometric watermarking scheme is proposed focusing on iris recognition instead of the traditional watermark for increasing the security of the digital products. The preprocess of iris image is to be done firstly, which generates the iris biometric template from person's eye images. And then the templates are to be on discrete cosine transform; the value of the discrete cosine is encoded to BCH error control coding. The host image is divided into four areas equally correspondingly. The BCH codes are embedded in the singular values of each host image's coefficients which are obtained through discrete cosine transform (DCT). Numerical results reveal that proposed method can extract the watermark effectively and illustrate its security and robustness.


Author(s):  
Santosh Kumar Singh ◽  
Jyotsna Singh

In our proposed watermark embedding system, the original audio is segmented into overlapping frames. The psychoacoustic auditory model has been utilized to calculate the global threshold in modified discrete cosine transform domain. The perceptual insignificant locations have been used to insert the appropriately scaled watermark in the transform domain. Blind detection of watermark has been performed. Simulation results indicate that the proposed watermarking system is perceptually transparent and robust against various kind of attacks such as AWGN addition and MP3 compression.


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