scholarly journals Hybrid Watermarking Scheme with Dual Encryption and Channel Coding in YCbCr Color Space

2021 ◽  
Vol 14 (14) ◽  
pp. 1139-1159
Author(s):  
Kiranjit Kaur ◽  
◽  
Dinesh Kumar
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 25026-25036 ◽  
Author(s):  
Yun Tan ◽  
Jiaohua Qin ◽  
Xuyu Xiang ◽  
Wentao Ma ◽  
Wenyan Pan ◽  
...  

Digital image watermarking is a significant one for copyright protection. In this work, a robust watermarking method that can be utilized to ensure copyright is proposed. The proposed technique improves the power of the watermark with the end goal that it very well may be utilized to secure the intellectual property considerably after genuine assaults on the watermark picture. A YCbCr model can be utilized as the ideal color model, the Y part being the ideal color channel here. Frequency domain methods give more robustness. Changes like DCT, Wavelet changes and Singular Values Decomposition (SVD) are some all around investigated transform domain procedures in watermarking. DKT-DCT hybrid wavelet transform is investigated by applying on have and utilized for embedding singular values of watermark. The proposed plan perceptually enhanced one and more strong in opposition to attacks and rotation invariant. The test outcomes show the perceptually enhanced condition as well as the efficiency of the proposed method when compared with traditional methodologies.


2018 ◽  
Vol 18 (03) ◽  
pp. 1850015 ◽  
Author(s):  
Aniket Roy ◽  
Arpan Kumar Maiti ◽  
Kuntal Ghosh

Digital Watermarking is an important tool for copyright protection. A good quality watermarking scheme should provide both perceptual transparency as well as robustness against attacks. Many efficient schemes exist for grayscale image watermarking, but relatively less attention has been paid to watermarking for color images. Moreover, the existing works do not provide adequate justification for the possible choice of color space. In this paper, justification is provided for the choice of YCbCr color space for watermark embedding. A human visual system (HVS)-inspired image-adaptive non-blind watermarking scheme in the YCbCr space has subsequently been proposed. This new algorithm has been referred to as the Additive Embedding Scheme (AES). It comprises of a modified watermarking strength parameter ([Formula: see text]), in combination with the discrete wavelet transform and singular value decomposition (DWT-SVD). Experimental results demonstrate that the proposed watermarking scheme in YCbCr color space provides better perceptual quality as well as robustness against attacks as compared to existing schemes. We have further improvised the aforementioned scheme to come up with a Multiplicative Embedding Scheme (MES) for additional robustness against a special type of attack, viz. the Singular Value Exchange Attack.


2014 ◽  
Vol 543-547 ◽  
pp. 2873-2878
Author(s):  
Hui Yong Li ◽  
Hong Xu Jiang ◽  
Ping Zhang ◽  
Han Qing Li ◽  
Qian Cao

Modern embedded portable devices usually have to deal with large amounts of video data. Due to massive floating-point multiplications, the color space conversion is inefficient on the embedded processor. Considering the characteristics of RGB to YCbCr color space conversion, this paper proposed a strategy for truncated-based LUT Multiplier (T-LUT Multiplier). On this base, an original approach converting RGB to YCbCr is presented which employs the T-LUT Multiplier and the pipeline-based adder. Experimental results demonstrate that the proposed method can obtain maximum operating frequency of 358MHz, 3.5 times faster than the direct method. Furthermore, the power consumption is less than that of the general method approximately by 15%~27%.


2013 ◽  
Vol 393 ◽  
pp. 556-560
Author(s):  
Nurul Fatiha Johan ◽  
Yasir Mohd Mustafah ◽  
Nahrul Khair Alang Md Rashid

Skin color is proved to be very useful technique for human body parts detection. The detection of human body parts using skin color has gained so much attention by many researchers in various applications especially in person tracking, search and rescue. In this paper, we propose a method for detecting human body parts using YCbCr color spaces in color images. The image captured in RGB format will be transformed into YCbCr color space. This color model will be converted to binary image by using color thresholding which contains the candidate human body parts like face and hands. The detection algorithm uses skin color segmentation and morphological operation.


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