Reversible watermarking using channel coding and lifting for cultural heritage and medical image

Phadikar, Amit; Jana, Poulami; Phadikar, Baisakhi Sur; Maity, Goutam Kumar

doi:10.1504/ijics.2016.075308

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…The RFID tag data deformation part will deform the pulse data to receive the radio frequency and send it to the logic control. Many readers also use microprocessors and integrated systems to perform some intermediate software functions, such as checking signal status and checking and correcting exchange errors [ 23 ].…”

Section: Research and Design Methods Of Image Data Security Mechanimentioning

confidence: 99%

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design

Zhang

2021

Journal of Healthcare Engineering

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With the development of science and technology, more and more operations are performed in the cardiac catheterization laboratory. During such operations, a lot of relevant imaging data need to be retained. These imaging data can be used for clinical and scientific research and teaching applications, but imaging data security has also become an increasingly important issue. This article is based on the Internet of Things cardiac catheterization laboratory information management system image data security mechanism system research. First of all, this article adopts the literature method to study the application research of the Internet of Things technology in the medical field, as well as the relevant medical imaging data security technology methods. Then, the medical image data security mechanism was designed, and the image data security model of the cardiac catheterization laboratory information management system based on the Internet of Things was established. Finally, the application of decentralized management of the Internet of Things RFID technology on medical equipment and the security of the application of this technology on medical imaging data are analyzed, and finally a conclusion is drawn. The image data security mechanism established in this article is based on the Internet of Things technology. The security rate of image information data reaches more than 95%, the information data security level reaches level 1, and the average data missing rate is only 4.7%. It is a brand-new breakthrough, hoping to further improve the efficiency of hospital information management and protect the safety of medical information.

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Section: Research and Design Methods Of Image Data Security Mechanimentioning

confidence: 99%

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design

Zhang

2021

Journal of Healthcare Engineering

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“…However, this technique was tested only for singular attacks. In [25], the author adopted the difference expansion of Tian's algorithm as the primary technique for watermarking in a reversible format and also incorporated channel and lifting encoding to secure CH pictures. A lifting-based two-level DWT in the transform domain was incorporated as a transformation tool to embed a watermark.…”

Section: Related Researchmentioning

confidence: 99%

Spatial Domain-Based Robust Watermarking Framework for Cultural Images

et al. 2022

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Heritage multimedia, which include photographs, customs, knowledge, arts, rituals, audio, cultural information, and music, are valuable artifacts of any region. The most important attribute of heritage media is the transmission of important features of past generations, which reflect their way of living, innovative attitude, and diversity in archaeological and historical perspectives. However, the proliferation of the Internet has made such data exchange more challenging than ever, allowing unauthorized users to easily access such information. Under such circumstances, securing cultural heritage (CH) media is essential. In that regard, herein, we present a spatial domain-based blind and robust watermarking scheme for the ownership verification of colored CH images; this scheme uses DC coefficient modification. In this scheme, the "Y" element of the YCbCr space is used for inserting a watermark. The "Y" element of a host image is divided into non-overlapping blocks with sizes of 8 × 8. Each 8 × 8 block is then divided into two 4 × 8 subblocks. Instead of calculating the DC coefficients using the discrete cosine transform, we independently calculate the DC coefficient of every 4 × 8 subblock in the spatial domain. We test our method based on standard test images obtained from the USC-SIPI dataset and a self-created dataset of cultural images. Our scheme demonstrates improved robustness and lower computational complexity than frequency-domainbased techniques. The average peak signal-to-noise ratio of the proposed technique for test images is 40.0830 dB, and the structural similarity index matrix value is closer to one under no attack, ensuring the imperceptibility of the technique. Further, we prove the resilience of the proposed algorithm by comparing it with various state-of-the-art techniques.

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Low-Power FPGA-Based Hardware Implementation of Reversible Watermarking Scheme for Medical Image

Jana

Phadikar²

2019

Computational Advancement in Communication Circuits and Systems

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Reversible watermarking using channel coding and lifting for cultural heritage and medical image

Cited by 5 publications

References 26 publications

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design

Spatial Domain-Based Robust Watermarking Framework for Cultural Images

Low-Power FPGA-Based Hardware Implementation of Reversible Watermarking Scheme for Medical Image

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