Abstract
In this paper we introduce a watermarking method which is based on hybrid wavelet transform generated from two orthogonal transforms namely Discrete Kekre Transform and Discrete Cosine transform. As introduced in our previous work, column transform of host and watermark is obtained to make the technique computationally efficient. Watermark is compressed and normalized before embedding to improve imperceptibility of watermarked image. Middle frequency host transform coefficients are used to embed the watermark. Instead of random (row wise) embedment of watermark coefficients into host coefficients, sorting is applied to both coefficients to have a maximum match or minimum difference between them while embedding. Sorting improves the performance of the technique when compared to previous work done without sorting.
Highlights
Increased use of network technology for communication has made information sharing a very routine part of life
By sorting the coefficients we are trying to find the closest match for the watermark coefficient, thereby trying to maintain the energy of sub band selected for embedding the watermark
Attacks performed on watermarked images are cropping, compression, noise addition, image resizing and histogram equalization
Summary
Increased use of network technology for communication has made information sharing a very routine part of life. Shared information can be in the form of digital data like images, videos, audio files and many more. Along with easy sharing of information, threats like tampering the information or unauthorised claiming of information are increased. Sophisticated technology tools available for manipulation or edition of digital data are the major contributor in this. Secure transmission of data over network is the need arising out of it. Watermarking is one of the well-known techniques used to make digital data secure against such unauthorised alteration or claiming
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