Robust Blind Digital Watermarking in Contourlet Domain
نویسندگان
چکیده
منابع مشابه
Robust Digital Watermarking Scheme using Contourlet Transform
A novel oblivious and highly robust watermarking scheme using Multiple Descriptions (MD) and Quantization Index Modulation (QIM) of the host image is presented in this paper. The watermark is embedded in the Discrete Contourlet Transform domain (CT). Discrete Countourlet Transform (CT) is able to capture the directional edges and contours superior to Discrete Wavelet Transform (DWT). Watermark ...
متن کاملRobust Image Watermarking in contourlet Domain Using Genetic Algorithm
In this paper objective is to develop a robust image watermarking method in contourlet domain using GA(Genetic Algorithm) to improve the quality and robustness of the watermarked image, by reducing the (BER)Bit Error Rate to with stand against common image processing attacks. Selecting more Co-efficient in more directions is achieved by means of combining Laplacian Pyramid with Directional filt...
متن کاملReversible Blind HF Domain Contourlet Watermarking for Authentication of Digital Images
Digital images are widely used in defense, e-governance, medicine, banking, insurance, healthcare, scientific research, weather forecasting etc. Varied applications in these fields demand the secure exchange of digital images that serve as valid document evidences for legal procedures and for clinical, scientific and forensic analysis. These images are susceptible to intentional or accidental a...
متن کاملReversible Blind HF Domain Contourlet Watermarking for Authentication of Digital Images
Digital images are widely used in defense, e-governance, medicine, banking, insurance, healthcare, scientific research, weather forecasting etc. Varied applications in these fields demand the secure exchange of digital images that serve as valid document evidences for legal procedures and for clinical, scientific and forensic analysis. These images are susceptible to intentional or accidental a...
متن کاملA Robust Image Denoising Technique in the Contourlet Transform Domain
The contourlet transform has the benefit of efficiently capturing the oriented geometrical structures of images. In this paper, by incorporating the ideas of Stein’s Unbiased Risk Estimator (SURE) approach in Nonsubsampled Contourlet Transform (NSCT) domain, a new image denoising technique is devised. We utilize the characteristics of NSCT coefficients in high and low subbands and apply SURE sh...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/9333-3639