scholarly journals A NOVEL APPROACH IN IMAGE WATERMARKING WITH DISCRETE WAVELET TRANSFORM

2013 ◽  
pp. 271-274
Author(s):  
G. KOTESWARA RAO ◽  
V. ANURAGH ◽  
T.P. SRINIVASKAUSALYANANDAN ◽  
R.L. PRASHANTH
Keyword(s):  
Signal To Noise Ratio ◽  
Image Watermarking ◽  
Image Data ◽  
Extraction Process ◽  
Discrete Wavelet ◽  
Wavelet Domain ◽  
Still Image ◽  
Image Pyramids ◽  
Novel Approach ◽  
Frequency Domain Methods

In this paper we present a new watermarking scheme for still image data. Most of the recent work in watermarking can be grouped into two categories: spatial domain methods and frequency domain methods. We introduce a novel approach of watermarking which involves embedding the watermark in the discrete wavelet domain. We make use of a multi resolution data fusion approach in which the image and watermark are both transformed into the discrete wavelet domain. The resulting image pyramids are then fused according to a series of combination. After watermark insertion, inverse DWT is applied to the sub-bands with modified coefficients to obtain the watermarked image. For watermark extraction, a threshold-based decoder is designed. Embedding and extraction process are characterized with parameters and genetic algorithm is used for parameter optimization. Optimization is to maximize the values of peak signal-to-noise ratio of the watermarked image and normalized cross correlation of the extracted watermark. The performance of the proposed scheme is compared with the existing schemes and significant improvement is observed.

scholarly journals Encryption Based Image Watermarking Algorithm in 2DWT-DCT Domains

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5540
Author(s):  
Nayeem Hasan ◽  
Md Saiful Islam ◽  
Wenyu Chen ◽  
Muhammad Ashad Kabir ◽  
Saad Al-Ahmadi
Keyword(s):  
Signal To Noise Ratio ◽  
Image Watermarking ◽  
Similarity Index ◽  
Structural Similarity ◽  
Reconstructed Image ◽  
Discrete Wavelet ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Watermarking Scheme

This paper proposes an encryption-based image watermarking scheme using a combination of second-level discrete wavelet transform (2DWT) and discrete cosine transform (DCT) with an auto extraction feature. The 2DWT has been selected based on the analysis of the trade-off between imperceptibility of the watermark and embedding capacity at various levels of decomposition. DCT operation is applied to the selected area to gather the image coefficients into a single vector using a zig-zig operation. We have utilized the same random bit sequence as the watermark and seed for the embedding zone coefficient. The quality of the reconstructed image was measured according to bit correction rate, peak signal-to-noise ratio (PSNR), and similarity index. Experimental results demonstrated that the proposed scheme is highly robust under different types of image-processing attacks. Several image attacks, e.g., JPEG compression, filtering, noise addition, cropping, sharpening, and bit-plane removal, were examined on watermarked images, and the results of our proposed method outstripped existing methods, especially in terms of the bit correction ratio (100%), which is a measure of bit restoration. The results were also highly satisfactory in terms of the quality of the reconstructed image, which demonstrated high imperceptibility in terms of peak signal-to-noise ratio (PSNR ≥ 40 dB) and structural similarity (SSIM ≥ 0.9) under different image attacks.

Copyright Protection by Robust Digital Image Watermarking in Unsecured Communication Channels

2017 ◽  
Vol 7 (1) ◽  
pp. 234
Author(s):  
Layth Alasafi ◽  
Tuna Göksu ◽  
Ammar Albayati
Keyword(s):  
New Technologies ◽  
Image Watermarking ◽  
Evaluation Criteria ◽  
Extraction Process ◽  
Digital Content ◽  
Multimedia Content ◽  
Discrete Wavelet ◽  
Digital Image Watermarking ◽  
Invisible Watermarking ◽  
Before And After

The transition from analog technologies to digital technologies has increased the ever-growing concern for protection and authentication of digital content and data. Owners of digital content of any type are seeking and exploring new technologies for the protection of copyrighted multimedia content. Multimedia protection has become an issue in recent years, and to deal with this issue, researchers are continuously searching for and exploring new effective and efficient technologies. This thesis study has been prepared in order to increase the invisibility and durability of invisible watermarking by using the multilayer Discrete Wavelet Transform (DWT) in the frequency plane and embedding two marks into an image for the purpose of authentication and copyright when digital content travels through an unsecured channel. A novel watermarking algorithm has been proposed based on five active positions and on using two marks. In addition to the extraction process, watermarking images will be subjected to a set of attack tests. The evaluation criteria have been the bases of assessing the value of SNR, PNSR, MAE and RMSE for both the watermarking images and the watermarking images after attacks, followed by the invisibility of the watermarking being measured before and after the attacks. Our lab results show high robustness and high quality images obtaining value for both SNR and PNSR.

A Blind Medical Image Watermarking for Secure E-Healthcare Application Using Crypto-Watermarking System

2019 ◽  
Vol 29 (1) ◽  
pp. 1558-1575
Author(s):  
Puvvadi Aparna ◽  
Polurie Venkata Vijay Kishore
Keyword(s):  
Patient Information ◽  
Medical Image ◽  
Medical Information ◽  
Signal To Noise Ratio ◽  
Image Watermarking ◽  
Extraction Process ◽  
Image Management ◽  
Patient Health ◽  
Healthcare Application ◽  
Two Phases

Abstract A reliable medical image management must provide proper security for patient information. Protecting the medical information of the patients is a major concern in all hospitals. Digital watermarking is a procedure prevalently used to secure the confidentiality of medical information and maintain them, which upgrades patient health awareness. To protect the medical information, the robust and lossless patient medical information sharing system using crypto-watermarking method is proposed. The proposed system consists of two phases: (i) embedding and (ii) extraction. In this paper, we securely share three types of patient information, medical image, electronic health record (EHR), and face image from one hospital to another hospital. Initially, all the three inputs are encrypted and the information is concordant. In order to enhance the robustness of the crypto-watermarking system, the obtained bit stream is compressed, and the compressed bit streams are embedded into the cover image. The same process is repeated for the extraction process. The experimentation result is carried out using different medical images with EHR, and the effectiveness of the proposed algorithm is analyzed with the help of peak signal to noise ratio.

New secure and robust audio watermarking algorithm based on QR factorization in wavelet domain

2015 ◽  
Vol 13 (03) ◽  
pp. 1550020 ◽  
Author(s):  
Mustapha Hemis ◽  
Bachir Boudraa ◽  
Thouraya Merazi-Meksen
Keyword(s):  
Signal To Noise Ratio ◽  
Low Frequency ◽  
Audio Signal ◽  
Extraction Process ◽  
Audio Watermarking ◽  
Qr Factorization ◽  
Wavelet Domain ◽  
Content Authentication ◽  
Opinion Score ◽  
Common Signal

Digital watermarking consists in embedding imperceptible information into a host signal. It has been proposed to solve problems as varied as the protection of the copyright, content authentication, fingerprinting and broadcast monitoring. This paper presents a new approach for audio watermarking using the QR factorization in wavelet domain. This approach is based on embedding a watermark binary image in the R matrices of low frequency blocks DWT coefficients of audio signal. In this algorithm, the watermark is embedded by applying a Quantization Index Modulation (QIM) process on the determined optimal sample for each matrix R. The watermark can be blindly extracted without the knowledge of the original audio signal. Experimental results show that the proposed audio watermarking scheme maintains high quality of the audio signal. Signal to Noise Ratio (SNR), Log Spectral Distortion (LSD) and Mean Opinion Score (MOS) are about 40 dB, 0.37 dB and 4.84, respectively. Moreover, the scheme is quite robust against common signal processing attacks such as noise addition, filtering and MP3 compression. In addition, this method ensures a secure extraction process by using a private key, making it suitable for secure applications such as copyright protection.

scholarly journals An Image Compression Based Technique to Watermark a Neural Network

2020 ◽  
Vol 9 (4) ◽  
pp. 599-603
Keyword(s):  
Neural Networks ◽  
Digital Watermarking ◽  
Network Performance ◽  
Image Watermarking ◽  
Image Data ◽  
Discrete Wavelet ◽  
Digital Image Watermarking ◽  
Neural Models ◽  
The Neural Networks ◽  
Training Error

While neural networks have made considerable progress in the area of digital representation, training of neural models requires an enormous data and time. It is well known that the use of trained models as initial weights often leads in less training error than un-pre-trained neural networks. We propose in this paper a digital watermarking system for neural networks. We formulate a new challenge: the integration of watermarks into neural networks through discrete cosine transform (DCT) based approach. For discrete wavelet transform (DWT)-based digital image watermarking algorithms, additional performance enhancements could be obtained by combining DWT with DCT. Throughout the neural networks, we also describe specifications, embedded conditions, and attack forms of watermarking. The technique presented here does not affect the network performance in which a watermark is positioned as the watermark is embedded while the host network is being trained. Finally, we perform detailed image data experiments to demonstrate the potential of neural networks watermarking as the basis for this research attempt.

An Iterative Lifting Scheme on DCT Coefficients for Image Coding

2015 ◽  
Vol 3 (4) ◽  
pp. 317-319
Author(s):  
K. Sowmithri
Keyword(s):  
Image Coding ◽  
Signal To Noise Ratio ◽  
Image Data ◽  
Lifting Scheme ◽  
Discrete Wavelet ◽  
Jpeg 2000 ◽  
Scalar Quantization ◽  
Coding Schemes ◽  
Level Information ◽  
Dct Coefficients

Image coding is considered to be more effective, as it reduces number of bits required to store and/or to transmit image data. Transform based image coders play a significant role as they decorrelate the spatial low level information. It is found utilization in International compression standards such as JPEG, JPEG 2000, MPEG and H264. The choice of transform is an important issue in all these transforms coding schemes. Most of the literature suggests either Discrete Cosine Transform (DCT) or Discrete Wavelet Transform (DWT). In this proposed work, the energy preservation of DCT coefficients is analysed, and to down sample these coefficients, lifting scheme is iteratively applied so as to compensate the artifacts that appear in the reconstructed picture, and to yield the higher compression ratio. This is followed by scalar quantization and entropy coding, as in JPEG. The performance of the proposed iterative lifting scheme, employed on decorrelated DCT coefficients is measured with standard Peak Signal to Noise Ratio (PSNR) and the results are encouraging.

scholarly journals DWT-DCT based copyright Protection in Ycbcr Color Space

2019 ◽  
Vol 8 (10) ◽  
pp. 675-679
Keyword(s):  
Copyright Protection ◽  
Signal To Noise Ratio ◽  
Image Watermarking ◽  
Color Space ◽  
Computational Time ◽  
Discrete Wavelet ◽  
Ycbcr Color Space ◽  
Watermark Embedding ◽  
Dct Coefficients ◽  
Ownership Protection

Digital image watermarking is powerful technique which provide ownership protection and copyright protection. In this paper, a novel watermarking technique based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) is presented. YCbCr color model is used for watermark embedding and extraction because of its close resemblance to human visual system. Single level DWT is applied to Luma Component of YCbCr color cover image and then DCT coefficients are taken for watermark embedding process. DCT is applied block by block of size . Binary watermark is scrambled using Arnold transform with k iterations to achieve robustness. Proposed method has been evaluated by many performance evaluation measures such as Peak Signal to Noise Ratio (PSNR), Normalized Correlation (NC) and Computational time. Various watermark attacks are also applied against proposed method, result shows that superiority over other methods.

A Tenable Approach for Protection of Electronic Medical Records Using Thermal Image Watermarking

2017 ◽  
Vol 6 (2) ◽  
pp. 46-61
Author(s):  
Mamtha Mohan ◽  
B. K. Sujatha
Keyword(s):  
Personal Information ◽  
Image Watermarking ◽  
Visual Cryptography ◽  
Discrete Wavelet ◽  
Band Frequency ◽  
Fully Integrated ◽  
Novel Approach ◽  
Image Protection ◽  
Thermal Signature ◽  
Two Stages

This paper presents a novel security architecture for protecting the integrity of facial signature images and templates using watermarking and Visual Cryptography (VC). The proposed scheme offers a complete protection framework for the facial signature biometrics consists of two stages: the first stage is for facial signature image protection while the second is for the facial signature template. Firstly, a watermark text which carries personal information of the patient is embedded in the middle band frequency region of the facial signature image using a novel watermarking algorithm that randomly interchanges multiple middle band pairs of the Discrete Wavelet Transform (DWT). Secondly, the proposed algorithm is fully integrated and consolidates the critical steps of feature extraction. The novel approach at developing a thermal signature template ensured that unforeseen changes in the vasculature over time did not affect the biometric matching process as the authentication process relied only on consistent thermal features.

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