A kind of image watermarking algorithm based on chaos sequences and fast curvelet transform

2012 ◽  
Author(s):  
Hao Luo ◽  
Xinyu Cheng ◽  
Shigong Long
Keyword(s):  
Image Watermarking ◽  
Curvelet Transform ◽  
Chaos Sequences

scholarly journals Image Watermarking in Curvelet Domain Using Edge Surface Blocks

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 822 ◽  
Author(s):  
Mamta Mittal ◽  
Ranjeeta Kaushik ◽  
Amit Verma ◽  
Iqbaldeep Kaur ◽  
Lalit Mohan Goyal ◽  
...  
Keyword(s):  
Image Watermarking ◽  
Curvelet Transform ◽  
Visual Quality ◽  
Strength Parameter ◽  
Partial Differential ◽  
First Order ◽  
Gaussian Filters ◽  
Edge Surface ◽  
Human Eyes

Digital image watermarking aims to protect the information in an image without significantly affecting visual quality. In this paper, a new image watermarking technique has been proposed that uses Gaussian filters and first-order partial differential matrix to extort the edge surface of a host image. This paper influence on the edge surface curvelet coefficients as human eyes are not equally sensitive to a smooth and an edged surface. To preserve the quality of the artwork and to increase the resistance against attacks, the author utilizes the edge surface area of an image, coarse levels of curvelet transform, and strength parameters. The selection of host coefficients are conforming to the human visual system (HVS) is the uniqueness of the research. The exploitation of the Gaussian filters and first-order partial differential coarse curvelet coefficients and the watermark strength parameter offers robustness against image processing attacks. The standard visual quality perception of HVS evaluation metrics are used to measure the superiority of the presented work.

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.

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