scholarly journals Fourier Image Watermarking: Print-Cam Application

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 266
Author(s):  
Khadija Gourrame ◽  
Frederic Ros ◽  
Hassan Douzi ◽  
Rachid Harba ◽  
Rabia Riad
Keyword(s):  
Image Watermarking ◽  
Research Field ◽  
Fourier Domain ◽  
Digital Image Watermarking ◽  
Android Application ◽  
Robust Watermarking ◽  
Fourier Image ◽  
Geometric Distortions ◽  
Robust Image ◽  
Active Research

Digital image watermarking is an active research field since it provides protection, security, and authenticity of data. This paper presents development and implementation of a blind and robust watermarking application for ID images under a print-cam system. In the present case, the images are watermarked and printed on ID cards and then detected freehandedly with a smartphone camera. In order to design an efficient and robust image watermarking application, the attacks produced in print-cam processes, such as geometric distortions, must be resolved. Accordingly, the proposed watermarking approach is applied in the Fourier domain. Then, a frame-based projective rectification is integrated to deal with geometric distortions by using detection of Hough lines. Moreover, better robustness against print-cam watermarking attacks was achieved compared with the existing methods, and an Android application was designed and implemented based on the proposed scheme.

A Survey on Patents of Typical Robust Image Watermarking

2011 ◽  
Vol 271-273 ◽  
pp. 389-393
Author(s):  
Yan Ling Li ◽  
Yun Peng Zhang
Keyword(s):  
Digital Watermarking ◽  
Digital Image ◽  
General Framework ◽  
Image Watermarking ◽  
Digital Image Watermarking ◽  
Robust Watermarking ◽  
Research Directions ◽  
The Past ◽  
The Future ◽  
Robust Image

The Digital Watermarking Technique Has Attracted Increased Interests on the past Decades. the General Framework of Robust Watermarking Is Described, and some Typical Robust Digital Image Watermarking Patents Are Surveyed in this Paper. the Main Principles and Functions of these Patents Are Reviewed and Discussed. then a Summarization about these Patents, the Challenge and Potential Research Directions in the Future Are Given Briefly.

scholarly journals A new DWT-SVD based robust watermarking scheme for real property rights

2014 ◽  
Vol 3 (2) ◽  
pp. 69-78
Author(s):  
Sedigeh Razavi babakalak ◽  
Mohammad Ali Balafar ◽  
Ali Farzan
Keyword(s):  
Property Rights ◽  
Image Watermarking ◽  
Singular Values ◽  
Discrete Wavelet ◽  
Digital Image Watermarking ◽  
Robust Watermarking ◽  
Real Property ◽  
Noise Type ◽  
Value Decomposition ◽  
Watermarking Scheme

In this paper, a new robust digital image watermarking algorithm which was based on singular value decomposition (SVD) and discrete wavelet transform (DWT) was proposed and simulated for protecting real property rights. A gray scale logo image, rather than a randomly generated Gaussian noise type watermark, was used as a watermark. Its embedding algorithm hid a watermark LL sub-band blocks in the low–low (LL) and high-high (HH) sub-bands of a target non-overlapping block of the host image by modifying singular values on SVD version of these blocks. A semi-blind watermark extraction was designed to estimate the original coefficients. Experimental results showed that the proposed scheme made significant improvements in terms of both transparency and robustness and was superior to the existing methods which were considered in this paper.

Robust Watermarking Algorithm Based on Bi-Dimensional Empirical Mode Decomposition

2011 ◽  
Vol 204-210 ◽  
pp. 627-631
Author(s):  
Ming Hui Deng ◽  
Fang Yang ◽  
Run Tao Wang
Keyword(s):  
Empirical Mode Decomposition ◽  
Image Watermarking ◽  
Image Theory ◽  
Geometric Distortion ◽  
Robust Watermarking ◽  
Multi Scale ◽  
Mode Decomposition ◽  
Robust Image ◽  
Characteristics Of Image ◽  
Frequency Properties

In this paper, we introduce a robust image watermarking method based on bi-dimensional empirical mode decomposition against geometric distortion. Based on the characteristics of the image theory and human visual system, the proposed method makes use of orthogonal properties of empirical mode decomposition to achieve the bi-dimensional empirical mode decomposition transform on the image. The image is decomposed into a series of IMFs and residue which contain the different frequency parts of the image. So the watermark is adaptively weighed to the different positions of the middle frequency IMF region. The method makes use of the multi-scale analysis characteristics of image bi-dimensional empirical mode decomposition theory and the person’s sense of vision and shows excellent advantage against shearing attack. The method could show the watermark clearly when half of the image has been cut. Experimental results show this method excellent robustness for image shearing. The watermark thus generated is invisible and performs well in StirMark test and is robust to geometrical attacks. Compared with other watermarking algorithms, this algorithm is more robust, especially against geometric distortion, while having excellent frequency properties.

Research of Digital Image Watermarking Robustness Algorithm Based on DCT

2014 ◽  
Vol 926-930 ◽  
pp. 3171-3174
Author(s):  
Na Na Zhang ◽  
Li Yu ◽  
Xiao Fang Yang
Keyword(s):  
Image Watermarking ◽  
Algorithm Design ◽  
Implementation Process ◽  
Research Direction ◽  
Digital Image Watermarking ◽  
Robust Watermarking ◽  
Specific Design ◽  
Design And Implementation ◽  
Dct Domain ◽  
Carrier Image

Image watermarking is a carrier image watermarking technology. This paper studies the research direction of the digital watermarking image of the DCT-based image robust watermarking algorithm design. We studies robust algorithm of watermarking image on specific design and implementation process based on DCT domain, the process including image watermarking embedding and watermarking extraction and watermarking detection. Experimental results achieved watermarking embedding evaluation requirements: effectiveness, transparency and robustness.

A SVD and Modified Firefly Optimization Based Robust Digital Image Watermarking Technique

2017 ◽  
Vol 7 (7) ◽  
pp. 268
Author(s):  
Chauhan Usha ◽  
Singh Rajeev Kumar
Keyword(s):  
Digital Media ◽  
Firefly Algorithm ◽  
Image Watermarking ◽  
Singular Values ◽  
Robust Watermarking ◽  
Scaling Factors ◽  
Geometric Attacks ◽  
Host Image ◽  
Firefly Optimization ◽  
Value Decomposition

Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host image. Firefly Algorithm is used to optimize the modified host image to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked image and provide more robustness to the embedded watermark against various attacks such as noise, geometric attacks, filtering attacks etc.

Sign in / Sign up

Export Citation Format

Share Document