Abstract
This paper proposes a watermarking technique using different orthogonal wavelet transforms like Hartley wavelet, Kekrewavelet, Slant wavelet and Real Fourier wavelet transform generated from corresponding orthogonal transform. Theseorthogonal wavelet transforms have been generated using different sizes of component orthogonal transform matrices.For example 256*256 size orthogonal wavelet transform can be generated using 128*128 and 2*2 size componentorthogonal transform. It can also be generated using 64*64 and 4*4, 32*32 and 8*8, 16*16 and 16*16 size componentorthogonal transform matrices. In this paper the focus is to compare the performance of above mentioned transformsgenerated using 128*128 and 2*2 size component orthogonal transform and 64*64 and 4*4 size component orthogonaltransform in digital image watermarking. The other two combinations are not considered as their performance iscomparatively not as good. Comparison shows that wavelet transforms generated using (128,2) combination of orthogonal transform give better performances than wavelet transforms generated using (64,4) combination of orthogonaltransformfor contrast stretching, cropping, Gaussian noise, histogram equalization and resizing attacks. Real Fourierwavelet and Slant wavelet prove to be better for histogram equalization and resizing attack respectively than DCT waveletand Walsh wavelet based watermarking presented in previous work.
Highlights
With the advent of digital era, use of internet to disseminate digital images and other multimedia contents is inevitable
Sample result images are shown in Table 1 and Table 2 for Slant wavelet and Real Fourier wavelet transform respectively
Watermarked image without performing any attack is shown with Mean Absolute Error value between host and watermarked image in first row
Summary
With the advent of digital era, use of internet to disseminate digital images and other multimedia contents is inevitable. Based on the contents to be protected, watermarking can be classified as digital image watermarking, audio watermarking, video watermarking or text watermarking. In case of digital image watermarking, some secret signal in the form of binary code or image known as watermark is inserted into digital image (host image) to be protected. In contrast when watermark is embedded in the transformed image obtained by applying suitable transformation technique, it is called as transform domain watermarking. Another classification is based on whether the watermark embedded is visible to the observer or not. If original image is not required for watermark extraction, it is called as blind or public watermarking
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