Tchebichef image watermarking along the edge using YCoCg-R color space for copyright protection

Author:

Ernawan Ferda

Abstract

Easy creation and manipulation of digital images present the potential danger of counterfeiting and forgery. Watermarking technique which embeds a watermark into the images can be used to overcome these problems and to provide copyright protection. Digital image watermarking should meet requirements, e.g. maintain image quality, difficult to remove the watermark, quality of watermark extraction, and applicable. This research proposes Tchebichef watermarking along the edge based on YCoCg-R color space. The embedding region is selected by considering the human visual characteristics (HVC) entropy. The selected blocks with minimum of HVC entropy values are transformed by Tchebichef moments. The locations of C(0,1), C(1,0), C(0,2) and C(2,0) of the matrix moment are randomly embedded for each watermark bit. The proposed watermarking scheme produces a good imperceptibility by average SSIM value around 0.98. The watermark recovery has greater resistant after several types of attack than other schemes.

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,General Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fragile and Robust Dual Image Watermarking based on DWT-SVD;2024 10th International Conference on Mechatronics and Robotics Engineering (ICMRE);2024-02-27

2. Secure Image Authentication and Copyright Protection Using Integer Wavelet Transform;2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA);2023-12-08

3. Blind Watermarking of Color Medical Images Using Hadamard Transform and Fractional-Order Moments;Sensors;2021-11-25

4. An Improved Image Watermarking by Modifying Selected DWT-DCT Coefficients;IEEE Access;2021

5. Adaptive scaling factors based on the impact of selected DCT coefficients for image watermarking;Journal of King Saud University - Computer and Information Sciences;2020-02

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