Image watermarking using genetic algorithm in DCT domain

Author(s):  
Sonam Tyagi ◽  
Harsh Vikram Singh ◽  
Raghav Agarwal
2018 ◽  
Vol 78 (7) ◽  
pp. 8075-8089 ◽  
Author(s):  
Han Fang ◽  
Hang Zhou ◽  
Zehua Ma ◽  
Weiming Zhang ◽  
Nenghai Yu

Author(s):  
Satish Ramchandra Todmal ◽  
Suhas Haribhau Patil

Image watermarking is a process of embedding secret information into cover image to secure transmission of secret data. Literature presents several image watermarking techniques are based on different transformation such as, wavelet transform, Fourier transform and cosine transform. Most of the authors have been developed an embedding and extraction algorithm newly with the transformed image. Then, the optimal location for embedding the secret data was identified by using optimization algorithm. Accordingly, the authors have developed an optimal robust watermarking technique using genetic algorithm and wavelet transform. In the previous work, watermarks were embedded into the wavelet coefficients of HL and LH band after searching the optimal locations in order to improve both quality of watermarked image and robustness of the watermark. In this work, the authors have developed to improve the genetic algorithm by combining it with Artificial Bee Colony algorithm (ABC Algorithm). Here, they have used hybrid algorithm for finding of optimal location in watermarking process. Finally, the comparative evaluation of the hybrid algorithm will be done with the existing and previous technique using different images and the performance of the extended algorithm will be analyzed using the PSNR, NC with convergence rate.


Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1506 ◽  
Author(s):  
Kai Zhou ◽  
Yunming Zhang ◽  
Jing Li ◽  
Yantong Zhan ◽  
Wenbo Wan

In the robust image watermarking framework, watermarks are usually embedded in the direct current (DC) coefficients in discrete cosine transform (DCT) domain, since the DC coefficients have a larger perceptual capacity than any alternating current (AC) coefficients. However, DC coefficients are also excluded from watermark embedding with the consideration of avoiding block artifacts in watermarked images. Studies on human vision suggest that perceptual characteristics can achieve better image fidelity. With this perspective, we propose a novel spatial–perceptual embedding for a color image watermarking algorithm that includes the robust just-noticeable difference (JND) guidance. The logarithmic transform function is used for quantization embedding. Meanwhile, an adaptive quantization step is modeled by incorporating the partial AC coefficients. The novelty and effectiveness of the proposed framework are supported by JND perceptual guidance for spatial pixels. Experiments validate that the proposed watermarking algorithm produces a significantly better performance.


2013 ◽  
Vol 717 ◽  
pp. 720-725
Author(s):  
Qing Jun Wang ◽  
Xiao Bin Wang

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.


Author(s):  
Gangyi Jiang ◽  
Mei Yu ◽  
Shoudong Shi ◽  
Xiao Liu ◽  
Yong-Deak Kim

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