Biomedical image watermarking for content protection using multiple copies of information and bit majority algorithm in wavelet domain
01 Mar 2012-pp 1-6
TL;DR: A novel scheme for biomedical image watermarking by hiding multiple copies of the same data in the cover image using bit replacement in horizontal and vertical resolution approximation image components of wavelet domain is presented.
Abstract: Current paper presents a novel scheme for biomedical image watermarking by hiding multiple copies of the same data in the cover image using bit replacement in horizontal (HL) and vertical (LH) resolution approximation image components of wavelet domain. The proposed scheme use an approach for recovering the hidden information from the damaged copies due to unauthorized alteration of data under attack by applying an algorithm to find the closest twin of the embedded information by bit majority algorithm. Experimental results show much enhancement in the visual and statistical invisibility of hidden information that support the improvement in performance.
Citations
More filters
01 Jan 2013
TL;DR: DCT wavelet transform performs better than the previously proposed DWT-DCT-SVD based watermarking scheme wherein Haar functions are used as basis functions for wavelets transform.
Abstract: This paper presents a technique of digital image watermarking using DCT wavelet transform. Use of Haar wavelet is very common in watermarking. However, here DCT wavelet transform of size 256*256 is generated using existing well known orthogonal transform DCT of dimension 128*128 and 2*2. This DCT Wavelet transform is used in combination with the orthogonal transform DCT and SVD to increase the robustness of watermarking. HL2 sub-band is selected for watermark embedding. Performance of the proposed watermarking scheme is evaluated against various image processing attacks like contrast stretching, image cropping, resizing, histogram equalization and Gaussian noise. DCT wavelet transform performs better than our previously proposed DWT-DCT-SVD based watermarking scheme wherein Haar functions are used as basis functions for wavelet transform.
11 citations
TL;DR: This paper describes the analysis in the field of medical image processing and describes the fundamental behind the transform domain processing to convert the spatial domain operations to its equivalent transform domain.
Abstract: Medical image processing techniques requires continuous improve quality of services in health care industry. In the real world huge amount of information has to be processed and transmitted in digital form. Before transmission the image has to be compressed to save the bandwidth. This is achieved by alternate coefficient representation of image/videos in a different domain. Processing of images in transform domain takes comparable less computation by avoiding inverse and re-transforms operations. The fundamental behind the transform domain processing is to convert the spatial domain operations to its equivalent transform domain. This paper describes the analysis in the field of medical image processing.
3 citations
TL;DR: The aim of the proposed watermarking scheme is personal authentication by ensuring the perceptual invisibility, PSNR (Peak Signal-to-Noise Ratio) values are calculated during the simulations and it can say that the proposed method provides higher PSNR values than compared current methods.
Abstract: Telemedicine is an important technique that permits transmission of medical and imaging data from one place to other, ensures the reliability of data and provides a convenient communications between patient and medical staff. In this study, Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) based medical image watermarking method that hides the patient information into medical image without affecting the image quality is proposed for the purpose of authentication. At the watermark (secret image containing patient information) embedding process, a chaotic map called as Arnold Cat Map (ACM) is applied to the watermark to improve the security of the method. So that the aim of the proposed watermarking scheme is personal authentication by ensuring the perceptual invisibility, PSNR (Peak Signal-to-Noise Ratio) values are calculated during the simulations. According to the experimental results, we can say that the proposed method provides higher PSNR values than compared current methods. Furthermore, in simulations DWT and SVD based watermarking scheme is implemented as chaotic and non-chaotic watermarking scheme to investigate the effect of chaotic map on the performance of the proposed algorithm.
1 citations
Cites methods from "Biomedical image watermarking for c..."
...For this purpose, digital image watermarking is found to be an effective and promising mechanism by the researchers [8, 9]....
[...]
01 Jan 2014
TL;DR: Results show that, similarity of original and watermarked image is higher using Angiogram followed by CT image while the least among them is the Test Image.
Abstract: This paper captures how different types of images perform differently as a result of their variation of sources or means of capture using a particular watermarking application The performance of the watermarking application was measured using the standard quality metrics on different sets of images (Angiogram, CT and Ordinary Test Images) The performance evaluation metric employed in this research is Structural Similarity Index Measure (SSIM) (Ayuba, 2013), which yielded some sets of result for Angiogram, CT and Test Images A statistical analysis of Variance was conducted to determine which set of images are the most suitable for the application The results show that, similarity of original and watermarked image is higher using Angiogram followed by CT image while the least among them is the Test Image Angiogram and CT images are more suitable for the watermarking application
Cites background from "Biomedical image watermarking for c..."
...If the correlation is positive, we have a positive relationship which means the Watermarking Application is highly effective (Pal et al., 2012)....
[...]
References
More filters
Book•
[...]
24 Oct 2001
TL;DR: Digital Watermarking covers the crucial research findings in the field and explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied.
Abstract: Digital watermarking is a key ingredient to copyright protection. It provides a solution to illegal copying of digital material and has many other useful applications such as broadcast monitoring and the recording of electronic transactions. Now, for the first time, there is a book that focuses exclusively on this exciting technology. Digital Watermarking covers the crucial research findings in the field: it explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied. As a result, additional groundwork is laid for future developments in this field, helping the reader understand and anticipate new approaches and applications.
2,849 citations
TL;DR: It is proved analytically and shown experimentally that the peak signal-to-noise ratio of the marked image generated by this method versus the original image is guaranteed to be above 48 dB, which is much higher than that of all reversible data hiding techniques reported in the literature.
Abstract: A novel reversible data hiding algorithm, which can recover the original image without any distortion from the marked image after the hidden data have been extracted, is presented in this paper. This algorithm utilizes the zero or the minimum points of the histogram of an image and slightly modifies the pixel grayscale values to embed data into the image. It can embed more data than many of the existing reversible data hiding algorithms. It is proved analytically and shown experimentally that the peak signal-to-noise ratio (PSNR) of the marked image generated by this method versus the original image is guaranteed to be above 48 dB. This lower bound of PSNR is much higher than that of all reversible data hiding techniques reported in the literature. The computational complexity of our proposed technique is low and the execution time is short. The algorithm has been successfully applied to a wide range of images, including commonly used images, medical images, texture images, aerial images and all of the 1096 images in CorelDraw database. Experimental results and performance comparison with other reversible data hiding schemes are presented to demonstrate the validity of the proposed algorithm.
2,240 citations
01 Jul 1999
TL;DR: The basic concepts of watermarking systems are outlined and illustrated with proposed water marking methods for images, video, audio, text documents, and other media.
Abstract: Multimedia watermarking technology has evolved very quickly during the last few years. A digital watermark is information that is imperceptibly and robustly embedded in the host data such that it cannot be removed. A watermark typically contains information about the origin, status, or recipient of the host data. In this tutorial paper, the requirements and applications for watermarking are reviewed. Applications include copyright protection, data monitoring, and data tracking. The basic concepts of watermarking systems are outlined and illustrated with proposed watermarking methods for images, video, audio, text documents, and other media. Robustness and security aspects are discussed in detail. Finally, a few remarks are made about the state of the art and possible future developments in watermarking technology.
1,447 citations
10 Dec 2002
TL;DR: A prediction-based conditional entropy coder which utilizes static portions of the host as side-information improves the compression efficiency, and thus the lossless data embedding capacity.
Abstract: We present a novel reversible (lossless) data hiding (embedding) technique, which enables the exact recovery of the original host signal upon extraction of the embedded information. A generalization of the well-known LSB (least significant bit) modification is proposed as the data embedding method, which introduces additional operating points on the capacity-distortion curve. Lossless recovery of the original is achieved by compressing portions of the signal that are susceptible to embedding distortion, and transmitting these compressed descriptions as a part of the embedded payload. A prediction-based conditional entropy coder which utilizes static portions of the host as side-information improves the compression efficiency, and thus the lossless data embedding capacity.
1,126 citations
"Biomedical image watermarking for c..." refers methods in this paper
...Thus the watermarking method must be reversible, in that the original pixel values must be exactly recovered [26] [27]....
[...]
[...]
TL;DR: Digital watermarking, a technology for insertion of imperceptible information into multimedia content offers a solution for authentication and suitable action thereof, which is a rapidly maturing technology.
Abstract: Summary form only given. The ability to represent audio and video digitally and its vast popularity poses enormous challenges in protection against unauthorized use, copy and distribution in open, highly uncontrolled Internet environment. Digital watermarking, a technology for insertion of imperceptible information into multimedia content offers a solution for authentication and suitable action thereof. This is a rapidly maturing technology. Initiatives within the industry are ongoing for various forms of multimedia. Technology alone is unlikely to address all the copy protection issues. Business models and legal support also play an important role in tackling them.
611 citations