Digital image watermarking using least significant bit and discrete cosine transformation

Author(s):  
Anushka ◽  
Anuj Saxena
2020 ◽  
Vol 29 (1) ◽  
pp. 30-39 ◽  
Author(s):  
Farah Deeba ◽  
She Kun ◽  
Fayaz Ali Dharejo ◽  
Hira Memon

In the past of years of development of digital communication and network communication technology with increase in transferring documents all over the world, the authenticity and ownership of document is also important and challenging to control. To solve these problems so many techniques evolved which comes under transform domain and spatial domain based watermarking techniques. Most commonly used popular digital image watermarking techniques based on Transform Domain are like Discrete Cosine Transformation (DCT), Discrete Fourier Transformation (DFT), Discrete Wavelet Transformation (DWT) and Singular Value Decomposition (SVD) transformations. But with lot of introduced techniques there must be a standard parameterized study required which compares them individually and explain their actual performance. In this paper, we implement watermarking using Transform Domain based techniques DCT, DWT and SVD and compare them practically on standard parameters like imperceptibility & robustness with use of standard attacks. For the analysis of them we take standard images for implementation of digital image watermarking. All work done in Matlab platform. Experimental result shows the performance quality of DCT, DWT and SVD based watermarking techniques with standard quality parameters.


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