Title :
Comparative analysis of LSB, DCT and DWT for Digital Watermarking
Author :
Bansal, Neha ; Bansal, Atul ; Deolia, Vinay Kumar ; Pathak, Pooja
Author_Institution :
Deptt. of ECE, GLNAIT, Mathura, India
Abstract :
In one´s day to day life; internet is growing and became an important part. Digital content can easily be downloaded, copied or edited. Digital content can be secured by various ways. Digital Watermarking is one of the methods for the protection of Digital Content. Digital Watermarking is a method by which data can be secured by hiding data in any image which can work as a carrier image. The carrier image is also known as cover image. Watermarking is an interactive method to protect and identify the digital data. It permits various types of watermarks to be hidden in digital data e.g. image, audio and video. In this work, watermarking has been done using LSB technique, DCT transform and DWT transform. These techniques are compared on the basis of peak signal to noise ratio (PSNR) and normalized correlation (NC). Parameters are compared for various noises like Gaussian noise, Poisson noise, Salt and Pepper noise and Speckle noise.
Keywords :
Gaussian noise; discrete cosine transforms; discrete wavelet transforms; image watermarking; DCT transform; DWT transform; Gaussian noise; LSB technique; PSNR; Poisson noise; digital watermarking; discrete cosine transform; discrete wavelet transform; image data hiding; least significant bit technique; normalized correlation NC parameters; peak signal to noise ratio; salt and pepper noise; speckle noise; Discrete cosine transforms; Discrete wavelet transforms; PSNR; Robustness; Watermarking; Digital Watermarking; Discrete Cosine Transform (DCT); Discrete Wavelet Transform (DWT); Least Significant Bit (LSB) technique; Normalized Cross Correlation (NC); Peak Signal to Noise Ratio (PSNR);
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1