An image zero-watermarking algorithm based on the encryption of visual map feature with watermark information

Thanh, Ta Minh; Tanaka, Keisuke

doi:10.1007/s11042-016-3750-2

Cited by 42 publications

(27 citation statements)

References 15 publications

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“…However, Wu's scheme is vulnerable to geometric attacks such as cropping, scaling, rotation, and histogram equalization, whereas our scheme is able to withstand such attacks. Moreover, it is obvious that the performance of our scheme is much better than the algorithms in [24,25,26,30]. A feature of our scheme is that it can extract the watermark perfectly in the case of some image processing attacks such as median filtering, scaling, histogram equalization, and compression attacks.…”

Section: Bchmentioning

confidence: 94%

“…For performance comparisons, four copyright protection methods, proposed by [24], [25], [26], and [30] were implemented in this study. We use the gray-scale images CT and MR in Fig.…”

Section: Bchmentioning

confidence: 99%

“…Whether the watermark information is embedded in the spatial domain or the frequency domain, risks of image quality in modification still exist. A number of scholars have started to focus on zero-watermarking methods [3,[24][25][26][27][28][29][30] based on a combination of visual secret sharing (VSS) [31,32] and watermarking. These methods use the protected image feature as well as visual secret sharing and digital watermarks to produce the public image called ownership share image (OSI) and register the image with a certified authority.…”

Section: Introductionmentioning

confidence: 99%

“…However, the clarity of the message presented by OSI still needs to be strengthened. Thanh and Tanaka [26] proposed a copyright protection method that splits a protected image into non-overlapping blocks, and each block is deconstructed into an upper triangular matrix by QR decomposition. The DCT is applied to these matrices and the significant DC coefficients of each matrix are obtained.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Medical Image Watermarking Based on Visual Secret Sharing and Cellular Automata Transform for Copyright Protection

Fan¹,

Chao²,

Chieu³

2018

KSII TIIS

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In order to achieve the goal of protecting medical images, some existing watermark techniques for medical image protection mainly focus on improving the invisibility and robustness properties of the method, in order to prevent unnecessary medical disputes. This paper proposes a novel copyright method for medical image protection based on visual secret sharing (VSS) and cellular automata transform (CAT). This method uses the protected medical image feature as well as VSS and a watermark to produce the ownership share image (OSI). The OSI is used for medical image verification and must be registered to a certified authority. In the watermark extraction process, the suspected medical image is used to generate a master share image (MSI). The watermark can be extracted by combining the MSI and the OSI. Different from other traditional methods, the proposed method does not need to modify the medical image in order to protect the copyright of the image. Moreover, the registered OSI used to verify the ownership and its appearance display meaningful information, facilitating image management. Finally, the results of the final experiment can prove the effectiveness of our method.

show abstract

Section: Bchmentioning

confidence: 94%

“…For performance comparisons, four copyright protection methods, proposed by [24], [25], [26], and [30] were implemented in this study. We use the gray-scale images CT and MR in Fig.…”

Section: Bchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Medical Image Watermarking Based on Visual Secret Sharing and Cellular Automata Transform for Copyright Protection

Fan¹,

Chao²,

Chieu³

2018

KSII TIIS

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show abstract

“…However, dividing the host image into overlapping blocks generates a large number of image blocks, which increased the computational complexity of the algorithm. Ta Minhn Thanh et al [40] extracted the robust feature as the master share from the host image by combining the QR decomposition and one-dimensional (1D) DCT. In their scheme, the host images are RGB images, and two zero-watermarking construction schemes were proposed utilizing the luminance Y-components of the host images.…”

Section: Introductionmentioning

confidence: 99%

A Novel Zero-Watermarking Scheme Based on Variable Parameter Chaotic Mapping in NSPD-DCT Domain

et al. 2020

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In this paper, a novel image zero-watermarking scheme against rotation attacks is proposed based on nonsubsampled pyramid decomposition (NSPD) and discrete cosine transform (DCT). It utilizes the intrinsic characteristics of NSPD and DCT to extract the robust feature of an image as the original zero-watermark. To increase the security of the proposed scheme, a variable parameter chaotic mapping (VPCM) is designed for the processes of watermark encryption and robust feature extraction. Firstly, the host gray-scale image is decomposed by NSPD, and the low-frequency sub-band image is divided into nonoverlapping blocks. After the blocks are transformed by DCT, the signs of the first AC coefficients from all the blocks are used to construct a binary feature image. Then an exclusive-or operation is performed between the binary feature image and the encrypted watermark image to obtain the verification zero-watermark image. Furthermore, a method against arbitrary rotation attacks is employed to improve the robustness of the scheme against geometric attacks. The experimental results demonstrate that the proposed scheme is highly robust against various image processing attacks such as filtering, JPEG compression, scaling, translation, rotation and Checkmark attacks. INDEX TERMS Discrete cosine transform, Nonsubsampled pyramid decomposition, Rotation attacks, Variable parameter chaotic mapping, Zero-watermarking.

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Distributed Watermarking for Cross-Domain of Semantic Large Image Database

Tai

Thắng

Thanh

2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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An image zero-watermarking algorithm based on the encryption of visual map feature with watermark information

Cited by 42 publications

References 15 publications

Medical Image Watermarking Based on Visual Secret Sharing and Cellular Automata Transform for Copyright Protection

Medical Image Watermarking Based on Visual Secret Sharing and Cellular Automata Transform for Copyright Protection

A Novel Zero-Watermarking Scheme Based on Variable Parameter Chaotic Mapping in NSPD-DCT Domain

Distributed Watermarking for Cross-Domain of Semantic Large Image Database

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