A zero-watermark algorithm for multiple images based on visual cryptography and image fusion

Wang, Baowei; Wang, Weishen; Zhao, Peng

doi:10.1016/j.jvcir.2022.103569

Cited by 9 publications

(2 citation statements)

References 15 publications

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“…In this paper, normalized correlation degree (NC) is used as one of the indicators to measure the performance of the algorithm, that is, to evaluate the robustness of the algorithm. It is usually required that the value of the correlation coefficient be greater than 0.5 [23]. NC is defined as:…”

Section: Algorithm Evaluation Index 241 Correlation Coefficientmentioning

confidence: 99%

Zero Watermarking Algorithm for Medical Image Based on Resnet50-DCT

Sheng¹,

Li²,

Bhatti³

et al. 2023

Computers, Materials &Amp; Continua

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Medical images are used as a diagnostic tool, so protecting their confidentiality has long been a topic of study. From this, we propose a Resnet50-DCT-based zero watermarking algorithm for use with medical images. To begin, we use Resnet50, a pre-training network, to draw out the deep features of medical images. Then the deep features are transformed by DCT transform and the perceptual hash function is used to generate the feature vector. The original watermark is chaotic scrambled to get the encrypted watermark, and the watermark information is embedded into the original medical image by XOR operation, and the logical key vector is obtained and saved at the same time. Similarly, the same feature extraction method is used to extract the deep features of the medical image to be tested and generate the feature vector. Later, the XOR operation is carried out between the feature vector and the logical key vector, and the encrypted watermark is extracted and decrypted to get the restored watermark; the normalized correlation coefficient (NC) of the original watermark and the restored watermark is calculated to determine the ownership and watermark information of the medical image to be tested. After calculation, most of the NC values are greater than 0.50. The experimental results demonstrate the algorithm's robustness, invisibility, and security, as well as its ability to accurately extract watermark information. The algorithm also shows good resistance to conventional attacks and geometric attacks.

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Section: Algorithm Evaluation Index 241 Correlation Coefficientmentioning

confidence: 99%

Zero Watermarking Algorithm for Medical Image Based on Resnet50-DCT

Sheng¹,

Li²,

Bhatti³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…SIS can be divided into visual cryptography (VC) [11][12][13], polynomial-based SIS (PSIS) [14][15][16] and Chinese remainder theorem-based SIS (CRTSIS) [17][18][19]. These three kinds of sharing schemes share secret images according to the human vision system, polynomial sharing principle and Chinese remainder theorem, respectively.…”

Section: Introductionmentioning

confidence: 99%

Meaningful Secret Image Sharing with Uniform Image Quality

et al. 2022

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In meaningful secret image sharing (MSIS), a secret image is divided into n shadows. Each shadow is meaningful and similar to the corresponding cover image. Meaningful shadows can reduce the suspicion of attackers in transmission and facilitate shadow management. Previous MSIS schemes always include pixel expansion, and cross-interference from different shadows may exist when cover images are extremely unnatural images with large black and white blocks. In this article, we propose an MSIS with uniform image quality. A threshold t is set to determine the absolute salient regions. More identical bits are allocated according to saliency values in the absolute saliency region, which can improve image quality. In addition, the new identical bits allocation strategy also adjusts the randomness of the shadow images, generating shadows with uniform image quality and avoiding the cross-interference between different shadows. Experimental results show the effectiveness of our proposed scheme.

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Robust Zero-Watermarking Algorithm for Medical Images Based on SUSAN-DCT

Zhang

Liu³

et al. 2023

Smart Innovation, Systems and Technologies

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A zero-watermark algorithm for multiple images based on visual cryptography and image fusion

Cited by 9 publications

References 15 publications

Zero Watermarking Algorithm for Medical Image Based on Resnet50-DCT

Zero Watermarking Algorithm for Medical Image Based on Resnet50-DCT

Meaningful Secret Image Sharing with Uniform Image Quality

Robust Zero-Watermarking Algorithm for Medical Images Based on SUSAN-DCT

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