Protection of Microscopy Images through Digital Watermarking Techniques

Pizzolante, Raffaele; Castiglione, Arcangelo; Carpentieri, Bruno; Santis, Alfredo De; Castiglione, Aniello

doi:10.1109/incos.2014.116

Cited by 21 publications

(11 citation statements)

References 9 publications

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“…Step 4 In this stage, four neighbor pixels of pixel 7 is selected. In Block 4 of Figure 1b, we observe that only two neighbor pixels, namely 8 and 11 at position (2, 4) and (3,3), respectively, are selected. Only these two pixels are chosen to avoid the redundancy.…”

Section: Watermark Preprocessingmentioning

confidence: 99%

“…Spatial domain techniques embed a watermark of a given image by modifying its pixels directly. This technique is easy to implement and requires few computational resources [2,3]. On the other hand, the transform domain technique is applied to coefficients obtained as the result of a frequency transform of either a whole image or single block-shaped regions of a frame.…”

Section: Introductionmentioning

confidence: 99%

“…In this method, the watermark bit is embedded into the R matrix; however, the imperceptibility is not quite satisfactory. Pizzolante et al [3] introduced a novel method that can embed two watermarks into a con-focal 3-D microscopy image; however, the PSNR of this method is not high and the robustness has not been evaluated.…”

Section: Introductionmentioning

confidence: 99%

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Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

et al. 2020

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Copyright protection of multimedia content is confronted with great challenges such as easy access to the Internet. Digital watermarking is widely applicable technique for copyright protection of multimedia contents. In this paper, a blind symmetric watermarking method in canonical and cepstrum domains based on four-connected t-o'clock scrambling is proposed. Initially, the watermark image is scrambled using the four-connected t-o'clock method to enhance the security. Then, the rotation operation is applied to the host image to extract the region where the watermark bits are embedded. After that, discrete linear canonical transform (DLCT) is applied to the extracted region to obtain the DLCT region. Cepstrum transform (CT) is performed on DLCT region to attain CT region. The CT region is then divided into non-overlapping blocks. The watermark bits are inserted into each block using max-heap and min-heap tree property. Experimental results illustrate that the proposed method shows high robustness against numerous attacks. Moreover, it produces high quality watermarked images and provides high security. Furthermore, it has superior performance to recent methods in terms of imperceptibility, robustness, and security.

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Section: Watermark Preprocessingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

et al. 2020

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“…Many motivations lead us to the use of steganography and they can be significantly different from each other. For example, there may be the need to establish a “covert channel,” as well as to insert a seal into a digital content, which cannot be removed or altered (ie, digital watermarking). It is important to point out that unlike cryptography, which deals with the protection of the message content, steganography deals with techniques to hide the presence of hidden information within a message or within stored/exchanged data.…”

Section: Introductionmentioning

confidence: 99%

Compression‐based steganography

Carpentieri

Castiglione

Santis

et al. 2019

Concurrency and Computation

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Summary Conventional privacy‐enforcement mechanisms, such as encryption‐based ones, are frequently used to prevent third‐party eavesdroppers to intercept confidential information exchanged between two or more parties. However, the use of such mechanisms can be perceivable and it alerts the involved intercepting entities that could devote some effort in trying to remove the protection, eg, by cracking the encryption keys used or by exploiting the vulnerabilities of the technological solution used to protect the data. Sometimes, from the security point of view, avoiding to draw the attention or suspect to intermediate intercepting entities, may be better than protecting a data in a conventional manner. In such direction, one of the most effective approaches is hiding the secret information to be exchanged inside other data, through steganographic techniques. In this work, we exploit, for this specific purpose, the hierarchical structure of a compressed archive, as well as the algorithms and parameters used to create and maintain such archive. It is important to point out that, by doing this, the secret information is in no way semantically related to the contents of the compressed archive. This can be extremely useful in many cloud‐based situations where several confidential data is moved across multiple independent data center, which are under the control of different and not always fully trusted authorities. The effectiveness of this proposal has been assessed by using a properly designed and implemented prototype, where extensive tests have been performed within the context of a proof‐of‐concept.

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“…The secret information can be the unique serial number to identify the user, and it can also be relevant information of products, as the authentication of products to deal with the dispute, and this secret information is the digital watermark. With the development of the information hiding technology, Pizzolante (2014) proposed to take the digital watermarking technique applied to the microscope images. The digital watermark is divided into image watermarks (Tsai et al 2013;Zhou et al 2014), audio watermark (Duymaz 2012;Zhang et al 2014b), video watermark (Xie et al 2013;Panyavaraporn 2013) and the alike according to different formats.…”

Section: Introductionmentioning

confidence: 99%

A digital image watermarking method based on host image analysis and genetic algorithm

Han

Zhao

Qiu

2015

J Ambient Intell Human Comput

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This paper mainly comes up with a new watermarking method based on host image analysis and genetic algorithm. Through the characteristics of human visual system, the host image analysis can ensure the imperceptibility. It greatly enhance the embedding capacity of the watermark under the same visual effect, which can embed more watermark in the host image. The genetic algorithm is used in embedding process. It can not only improve the image quality, but also enhance the security and robustness of the watermarked image in a large extent. This algorithm satisfies an optimal compromise between the robustness and image quality. Besides that, the experimental results show that this method has great influence on transparency and robustness.

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Protection of Microscopy Images through Digital Watermarking Techniques

Cited by 21 publications

References 9 publications

Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

Compression‐based steganography

A digital image watermarking method based on host image analysis and genetic algorithm

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