Digital Image Watermarking Program

2013 ◽  
Vol 717 ◽  
pp. 720-725
Author(s):  
Qing Jun Wang ◽  
Xiao Bin Wang
Keyword(s):  
Digital Image ◽  
Visual Masking ◽  
Image Watermarking ◽  
Digital Image Watermarking ◽  
Chaotic Sequences ◽  
Copyright Information ◽  
Dct Domain ◽  
Unique Nature ◽  
Shear Processing ◽  
Salt And Pepper

This paper proposes digital image watermarking algorithm in DCT domain which makes use of the unique nature of chaotic sequences to encrypt binary image watermarking with copyright information via chaotic sequences and then embeds watermarking component of different strengths in DCT domain of different image blocks self-adaptively. Through the added Gaussian noise, salt and pepper noise and JPEG compression and shear processing operations, the results show that the algorithm has a good visual masking and robustness.

Reversible Watermarking in Digital Image Using PVO and RDWT

2018 ◽  
Vol 10 (2) ◽  
pp. 40-55
Author(s):  
Lin Gao ◽  
Tiegang Gao ◽  
Jie Zhao ◽  
Yonglei Liu
Keyword(s):  
Digital Image ◽  
Visual Masking ◽  
Image Watermarking ◽  
Visual Quality ◽  
Reversible Watermarking ◽  
Discrete Wavelet ◽  
Digital Image Watermarking ◽  
Embedding Capacity ◽  
Watermarking Scheme ◽  
Redundant Discrete Wavelet Transform

This article proposed a reversible digital image watermarking scheme using PVO and Redundant Discrete Wavelet Transform (RDWT). The PVO was introduce to the proposed scheme to enhance the embedding capacity. By embedding the watermark in the RDWT coefficients, the proposed scheme exploited the visual masking property of RDWT to achieve better visual quality. Also, the proposed scheme has better performance on embedding capacity because the RDWT has several sub-band coefficients for embedding. The experimental results on natural and medical images suggests that the proposed scheme could meet the demand of perceptional quality with better embedding capacity than former schemes.

AN ADAPTIVE DIGITAL IMAGE WATERMARKING USING FUZZY GRADIENT ON DCT DOMAIN

2011 ◽  
Vol 20 (05) ◽  
pp. 801-819
Author(s):  
ALIMOHAMMAD LATIF ◽  
AHMAD REZA NAGHSH-NILCHI
Keyword(s):  
Digital Image ◽  
Image Watermarking ◽  
High Fidelity ◽  
Digital Image Watermarking ◽  
Transform Domain ◽  
Processing Stage ◽  
Inverse Transform ◽  
Dct Domain ◽  
Gradient Based ◽  
Watermarking Scheme

In this paper, an adaptive digital image watermarking technique using fuzzy gradient on DCT domain is presented. In our approach, the image is divided into separate blocks and the DCT is applied on each block individually. Then, the watermark is inserted in the transform domain and the inverse transform is carried out. We increase the robustness of the watermark by increasing the watermark strength. However, this reduces the fidelity of the watermarking scheme. This is because the fidelity and robustness of watermarking are generally in conflict with each other. To improve the fidelity, a new fuzzy-based method is introduced. In this method, a fuzzy gradient-based mask is generated from the host image. Then, as a post-processing stage, the generated mask is combined with the watermarked image. Experimental results show that the proposed technique has high fidelity as well as high robustness against a variety of attacks.

A New Chaotic Image Scrambling Scheme Based on Spatial Bit-Level Map

2012 ◽  
Vol 220-223 ◽  
pp. 2589-2594 ◽  
Author(s):  
Rui Liu
Keyword(s):  
Digital Image ◽  
Image Watermarking ◽  
Chaotic Sequence ◽  
Digital Image Watermarking ◽  
Two Dimensional ◽  
Image Scrambling ◽  
One Dimensional ◽  
Chaotic Sequences ◽  
Image Pixels ◽  
Digital Image Encryption

Image scrambling is an important technique in digital image encryption and digital image watermarking. This paper proposes a new image scrambling algorithm based on chaotic sequence and spatial bit-level map. First, I used Logistic chaotic sequences to rearrange digital image pixels into one-dimensional (1-D) sequence, then the value of each pixel in the sequence was decomposed into k-bits which constituted a two-dimensional (2-D) bit matrix. Second, the spatial bit-level map was performed in the 2-D bit matrix to generate pixels with new values. Finally, the scrambling image was generated according to these pixels. This algorithm can scramble image based on the pixel’s position and the value and their corresponding probability. The experimental results show that this scrambling algorithm possesses perfect confusion properties and it can resist various attacks. Also it can apply to non-square image.

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