Open AccessProceedings Article
Comparative analysis of LSB, DCT and DWT for Digital Watermarking
Neha Bansal,Vinay Kumar Deolia,Atul Bansal,Pooja Pathak +3 more
- pp 40-45
TLDR
In this work, watermarking has been done using LSB technique, DCT transform and DWT transform, and parameters are compared for various noises like Gaussian noise, Poisson noise, Salt and Pepper noise and Speckle noise.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.read more
Citations
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Journal ArticleDOI
A security enhanced robust audio steganography algorithm for image hiding using sample comparison in discrete wavelet transform domain and RSA encryption
TL;DR: This paper proposes an efficient steganography scheme based on sample comparison in Discrete Wavelet Transform (DWT) domain where the cover audio is decomposed into several multi sub-bands, and then selected coefficients of details are changed by a threshold value depending on the embedding cipher image bit.
Journal ArticleDOI
A robust digital audio watermarking scheme based on DWT and Schur decomposition
TL;DR: The proposed digital audio watermarking scheme based on a discrete wavelet transform and Schur decomposition hybrid method is inaudible and robust against common types of attacks such as Gaussian noise, re-quantization, re -sampling, low-pass filter, high- pass filter, echo, MP3 compression, and cropping.
Journal ArticleDOI
Wavelet transform based on Meyer algorithm for image edge and blocking artifact reduction
TL;DR: From computer simulation, the merits of the proposed wavelet transform scheme based on Meyer algorithm over the conventional approaches are verified, in terms of achieving better performance based on the subjective and objective analysis.
Journal ArticleDOI
An Efficient Watermarking Approach Based on LL and HH Edges of DWT–SVD
TL;DR: In this paper, a hybrid watermarking scheme is proposed to furnish the robustness and protection of digital data, which is a form of discrete wavelet transform (DWT) and singular value decomposition (SVD).
Journal ArticleDOI
Optimization of Discrete Cosine Transform-Based Image Watermarking by Genetics Algorithm
TL;DR: The simulation result performs that GA is useful to search the value of parameter that produces controllable the combination between robustness, invisibility and capacity, and improves the method by determining the exactvalue of parameter achieving BER, PSNR and payload.
References
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Book ChapterDOI
Digital Watermarking Using MATLAB
TL;DR: This chapter introduces how to use MATLAB to implement image watermarking algorithms, including the most famous ones which are widely used in current literature or more complicated approaches are based upon.
Proceedings ArticleDOI
Information security through image watermarking using least significant bit algorithm
TL;DR: In this paper, Image Watermarking using Least Significant Bit (LSB) algorithm has been used for embedding the message/logo into the image and this work has been implemented through MATLAB.
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