scholarly journals Multipurpose Watermarking Based on SWT and SVD

2018 ◽  
Vol 7 (3.29) ◽  
pp. 65
Author(s):  
P Sivananthamaitrey ◽  
P Rajesh Kumar
Keyword(s):  
Copyright Protection ◽  
Color Image ◽  
High Capacity ◽  
Tamper Detection ◽  
Least Significant Bit ◽  
Green Component ◽  
Blue Component ◽  
Multipurpose Watermarking ◽  
Value Decomposition ◽  
Detection And Localization

Dual digital watermarking has emerged as a successful solution for copyright protection, tamper detection and localization. However, several problems related to the robustness, capacity, tampered area detection still mystifying. This paper presents a high capacity dual watermarking mechanism for digital color image. An invisible robust watermark is embedded in the Green component of the host image by using a hybrid combination of Stationary Wavelet Transform (SWT) and Singular Value Decomposition (SVD) for copyright protection. A fragile invisible watermark based on the Least Significant Bit (LSB) replacement approach is embedded in the Blue component of the image for tamper detection and localization. The proposed technique focuses on robustness and imperceptibility while maximizing embedding capacity that makes this technique a multipurpose watermarking scheme.

scholarly journals A robust watermarking hybrid algorithm for color image

2021 ◽  
Vol 336 ◽  
pp. 07012
Author(s):  
Mengli Song ◽  
Huijun Wang ◽  
Jianbin Wu ◽  
Xinrong Yan ◽  
Linfeng Yuan ◽  
...  
Keyword(s):  
Copyright Protection ◽  
Hybrid Algorithm ◽  
Color Image ◽  
Image Transmission ◽  
Discrete Wavelet ◽  
Watermark Image ◽  
Robust Watermarking ◽  
Watermark Embedding ◽  
Blind Extraction ◽  
Value Decomposition

In order to improve the anti-attack performance of the watermark to meet the requirements of copyright protection and content forensics. This paper proposes a digital watermarking hybrid algorithm based on color images. The specific process is to adopt the idea of multi-algorithm layered embedding, choose the algorithm based on discrete cosine transform (DCT) algorithm, discrete wavelet transform_singular value decomposition (DWT_SVD) algorithm, and hologram algorithm, these three algorithms with robust complementary functions, then embed the same watermark image into the color image R, G and B layers to complete the watermark embedding. Compared with the single-algorithm embedded watermark, the hybrid algorithm can achieve blind extraction, at the same time, the algorithm has better robustness and can resist more types and higher intensity attacks. In the process of digital image transmission, the integrity of the watermark information of the carried picture can be guaranteed to achieve copyright protection, content forensics and other purposes.

A robust and high capacity data hiding method for JPEG compressed images with SVD-based block selection and advanced error correcting techniques

2021 ◽  
pp. 1-11
Author(s):  
Kusan Biswas
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Error Correcting Codes ◽  
Human Vision ◽  
Data Embedding ◽  
Compressed Images ◽  
Matrix Encoding ◽  
Dct Coefficients ◽  
Capacity Data ◽  
Value Decomposition

In this paper, we propose a frequency domain data hiding method for the JPEG compressed images. The proposed method embeds data in the DCT coefficients of the selected 8 × 8 blocks. According to the theories of Human Visual Systems  (HVS), human vision is less sensitive to perturbation of pixel values in the uneven areas of the image. In this paper we propose a Singular Value Decomposition based image roughness measure (SVD-IRM) using which we select the coarse 8 × 8 blocks as data embedding destinations. Moreover, to make the embedded data more robust against re-compression attack and error due to transmission over noisy channels, we employ Turbo error correcting codes. The actual data embedding is done using a proposed variant of matrix encoding that is capable of embedding three bits by modifying only one bit in block of seven carrier features. We have carried out experiments to validate the performance and it is found that the proposed method achieves better payload capacity and visual quality and is more robust than some of the recent state-of-the-art methods proposed in the literature.

Technique for Removing Unnecessary Superimposed Patterns from Image using Generative Network

2021 ◽  
Author(s):  
Kazutake Uehira ◽  
Hiroshi Unno
Keyword(s):  
Color Image ◽  
Depth Map ◽  
Experimental Results ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Blue Component ◽  
Component Image

A technique for removing unnecessary patterns from captured images by using a generative network is studied. The patterns, composed of lines and spaces, are superimposed onto a blue component image of RGB color image when the image is captured for the purpose of acquiring a depth map. The superimposed patterns become unnecessary after the depth map is acquired. We tried to remove these unnecessary patterns by using a generative adversarial network (GAN) and an auto encoder (AE). The experimental results show that the patterns can be removed by using a GAN and AE to the point of being invisible. They also show that the performance of GAN is much higher than that of AE and that its PSNR and SSIM were over 45 and about 0.99, respectively. From the results, we demonstrate the effectiveness of the technique with a GAN.

Fault Management in Transparent Optical Networks

2011 ◽  
pp. 88-108
Author(s):  
Carmen Mas Machuca
Keyword(s):  
Optical Networks ◽  
Low Cost ◽  
High Capacity ◽  
Fault Management ◽  
High Impact ◽  
Multiple Faults ◽  
Transparent Optical Networks ◽  
Complex Fault ◽  
The Cost ◽  
Detection And Localization

The advantages of transparent optical networks such as high capacity and low cost can be outweighed by their complex fault management and the high impact of the faults occurring within them. Indeed, transparent optical networks reduce unnecessary, complex, and expensive opto-electronic conversion, to the cost of having faults more deleterious and affecting longer distances than in opaque networks. Moreover, transparent optical networks have limited monitoring capabilities, which could hinder efficient and accurate fault detection and localization. Different approaches have been proposed in the literature to perform fault localization, targeting different fault scenarios (e.g. single/multiple faults or looking at the optical/higher layers), and considering different assumptions (e.g. ideal/existence of false or lost alarms). Furthermore, fault management depends on the placement of monitoring equipment, whose optimization has been studied and also presented in this chapter.

Defending Multimedia Content Embedded in Online Social Networks (OSNs) Using Digital Watermarking

2020 ◽  
pp. 90-113
Author(s):  
Brij B. Gupta ◽  
Somya Rajan Sahoo ◽  
Prashant Chugh ◽  
Vijay Iota ◽  
Anupam Shukla
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Online Social Networks ◽  
Internet Usage ◽  
Multimedia Content ◽  
Least Significant Bit ◽  
Text Documents ◽  
Bit Plane ◽  
Embedded Process ◽  
The Web

In global internet usage, increasing multimedia message, which includes video, audio, images, and text documents, on the web raised a lot of consequences related to copyright. For copyright protection, authentication purpose and forgery detection digital watermarking is the robust way in social network content protection. In this technique, the privacy information is embedded inside the multimedia content like image and video. The protected content embedded inside multimedia content is called watermark-enabled information. To make more effective the process of watermarking, the content encrypted before embedding to the image. Basically, the digital watermarking embedded process implemented in two different domains called spatial and frequency domain. In spatial domain digital watermarking, the watermark information is embedded in the least significant bit of the original image on the basis of bit plane selected and on the basis of the pixels of image, embedding, and detection is performed.

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