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Sivakumar, P.
- A Robust Digital Watermarking Scheme based on Integer Wavelet using Compound Encryption
Abstract Views :190 |
PDF Views:3
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Kingston Engineering College, Vellore, Tamil Nadu, IN
2 Department of Electronics and Communication Nadu Engineering, Kingston Engineering College, Vellore, Tamil Nadu, IN
1 Department of Electronics and Communication Engineering, Kingston Engineering College, Vellore, Tamil Nadu, IN
2 Department of Electronics and Communication Nadu Engineering, Kingston Engineering College, Vellore, Tamil Nadu, IN
Source
Digital Image Processing, Vol 4, No 16 (2012), Pagination: 922-926Abstract
A new watermarking based on integer wavelet using image compound encryption algorithm is discussed in this project. In this algorithm, Arnold transform and chaotic mapping are applied into scrambling the original watermark and the iterative time of the Arnold transform and the initial value of the Logistic mapping are taken as the private keys. The original image is decomposed to different frequencies in different resolution levels by integer discrete wavelet transform (IDWT), and then the watermark is embedded into low frequency coefficients of the original image. The experimental results demonstrate its good unification between the robustness and invisibility.Keywords
Watermark, Image Encryption, Integer Wavelet.
- Performance of Wavelet, Contourlet and 2D PCA Transforms for Image Denoising
Abstract Views :159 |
PDF Views:2
Authors
P. Sivakumar
1,
S. Ravi
2
Affiliations
1 St. Peter's University, Chennai, IN
2 ECE Department, Dr. MGR University, Chennai-600095, IN
1 St. Peter's University, Chennai, IN
2 ECE Department, Dr. MGR University, Chennai-600095, IN
Source
Digital Image Processing, Vol 4, No 7 (2012), Pagination: 386-390Abstract
This paper uses the wavelet, Contourlet transform and the two dimensional Principle Component Analysis (2DPCA) for image denoising. The simulation results is carried out to demonstrate the performance of proposed techniques and the result shows that 2DPCA is superior over contourlet and wavelet transform in maintaining high peak signal -to-noise -ratio. The denoising algorithm is validated by numerical experiments on different standard images and roughness images. Numerical result shows that the proposed method can obtain higher PSNR and less visual artifacts compared with other methods. Also, Contourlet can provide a much more detailed representation for natural images with abundant textural information than Wavelets. The improved two dimensional PCA (2DPCA) extended the traditional principal component analysis theory to the two dimensional situation, and proved to be especially efficient in the analysis of images.Keywords
Image Denoising, Contourlet, Two-Dimensional PCA, Wavelet, PSNR.- Image Contrast Enhancement Using Singular Value Decomposition for Gray Level Images
Abstract Views :204 |
PDF Views:3
Authors
Affiliations
1 ECE Department of S.K.P. Engineering College, Thiruvannamalai, IN
2 S.K.P. Engineering College, IN
3 Anna University of Technology, Thirunelveli, IN
1 ECE Department of S.K.P. Engineering College, Thiruvannamalai, IN
2 S.K.P. Engineering College, IN
3 Anna University of Technology, Thirunelveli, IN
Source
Digital Image Processing, Vol 3, No 3 (2011), Pagination: 141-144Abstract
In this letter, analyze the satellite images by using discrete wavelet transform and singular value decomposition. The input image is decomposed into the four frequency sub bands by using DWT and estimates the singular value matrix of the low–low sub band image and then it reconstructs the enhanced image by applying inverse DWT. The technique is compared with conventional image equalization techniques such as standard general histogram equalization and local histogram equalization as well as state-of-theart techniques such as brightness preserving dynamic histogram equalization. The experimental results show the superiority of the proposed method over conventional methods.