Reversible and Embedded Watermarking of Medical Images for Telemedicine

Su, Chung-Yen; Huang, Jen Hsien; Shih, Che-Yang; Chen, Yu-Tang

doi:10.4108/icst.iniscom.2015.258307

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…In order to enhance the security and transmission speed, we can use the method in [1]. Figure 2 shows the flow chart of the location map embedding process.…”

Section: Transmissionmentioning

confidence: 99%

“…7. When c is calculated as 2 or 253, the embedded spaces are values (1,3) or (252, 254), respectively. As shown in Fig.…”

Section: A Coding Phasementioning

confidence: 99%

“…1. However, in our previous study [1], it didn't require the location map because the locations of watermarked pixels are denoted in the coding process. It integrated the processes of both the lossless coding, set partitioning in hierarchical trees (SPIHT), and the watermark embedding to reduce the storage size of image and speed up the transmission.…”

Section: Introductionmentioning

confidence: 98%

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Reversible watermarking for medical images using histogram shifting with location map reduction

Chen

Shih

et al. 2016

2016 IEEE International Conference on Industrial Technology (ICIT)

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In this paper, an improved lossless data hiding method with histogram shifting for medical images is proposed. In general, medical images consist of many pure black and white points. In the previous studies, it may need a lot of data as a location map to reconstruct the watermark and the cover image. To solve this problem, we present a new method to record the location map. We use two bits for each block to record the information of histogram shifting and one bit to denote the change of each pixel value on the cover image. The purpose of the former two bits is to avoid wrong information in the extracting process, while that of the latter one is to avoid overflow and underflow. Experimental results show that our method can reduce the size of location map up to 95.04% compared to the previous studies.

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“…In order to enhance the security and transmission speed, we can use the method in [1]. Figure 2 shows the flow chart of the location map embedding process.…”

Section: Transmissionmentioning

confidence: 99%

“…7. When c is calculated as 2 or 253, the embedded spaces are values (1,3) or (252, 254), respectively. As shown in Fig.…”

Section: A Coding Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Reversible watermarking for medical images using histogram shifting with location map reduction

Chen

Shih

et al. 2016

2016 IEEE International Conference on Industrial Technology (ICIT)

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“…In such cases, digital watermarking (DWM) system plays a major role for ensuring security, authenticity and confidentiality. The DWM is implemented in two ways: spatial and transform domain [3] [9]; the transform domain is more robust compared to spatial domain but does not provide complete contribution towards the security of the information.…”

Section: Introductionmentioning

confidence: 99%

E2-Invisible Watermarking for Protecting Intellectual Rights of Medical Images and Records

Kavitha¹

2018

ijacsa

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In today's digital era, practice of telemedicine has become common which involves the transmission of medical images and Myhealthrecord (MHR) for higher diagnosis in case of emergency and maintaining integrity, robustness, authentication and confidentiality of such patient's data becomes necessary. Many works has shown that the digital watermarking is one of the solutions but simultaneously, it is known that no complete algorithm is available to fulfil all the requirements of a field. Till the watermarking technique becomes robust, encryption technique can be considered as one of the best solution for protecting the data. Encoding is used for transforming the information in to another form and in the proposed work of digital watermarking (DWM); encoding is combined with encryption and DWM to enhance the protection of data by maintaining the above said constraints. In this paper, DWM for medical images is implemented by joint combination of spatial and frequency domain technique Singular value decomposition-Integer wavelet transform (SVD-IWT) respectively, 64-bit Rivest-Shamir-Adleman (RSA) cryptotechnique and new encoding procedure. To avoid the degradation of the medical image which is very essential in the medical field, data payload should be less and is achieved by the use of quick response (QR) code which consumes less space for large information. Finally the proposed system is compared with other traditional methods and also evaluated against various image processing and geometric attacks.

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“…The irreversible watermarking methods are lossy in nature as they introduce permanent alterations to the original images even after the extraction of the embedded watermarks [17][18][19]. Reversible methods, on the other hand, are lossless since they retain the original image after extracting the embedded watermarks [20][21][22][23][24][25]. The third category is the region-based methods which involve segmenting the original medical image into two areas: region of interest (ROI) and region of non-interest (RONI).…”

Section: Introductionmentioning

confidence: 99%

Crypto-Watermarking of Transmitted Medical Images

2016

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Telemedicine is a booming healthcare practice that has facilitated the exchange of medical data and expertise between healthcare entities. However, the widespread use of telemedicine applications requires a secured scheme to guarantee confidentiality and verify authenticity and integrity of exchanged medical data. In this paper, we describe a region-based, crypto-watermarking algorithm capable of providing confidentiality, authenticity, and integrity for medical images of different modalities. The proposed algorithm provides authenticity by embedding robust watermarks in images' region of non-interest using SVD in the DWT domain. Integrity is provided in two levels: strict integrity implemented by a cryptographic hash watermark, and content-based integrity implemented by a symmetric encryption-based tamper localization scheme. Confidentiality is achieved as a byproduct of hiding patient's data in the image. Performance of the algorithm was evaluated with respect to imperceptibility, robustness, capacity, and tamper localization, using different medical images. The results showed the effectiveness of the algorithm in providing security for telemedicine applications.

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Reversible and Embedded Watermarking of Medical Images for Telemedicine

Cited by 5 publications

References 10 publications

Reversible watermarking for medical images using histogram shifting with location map reduction

Reversible watermarking for medical images using histogram shifting with location map reduction

E2-Invisible Watermarking for Protecting Intellectual Rights of Medical Images and Records

Crypto-Watermarking of Transmitted Medical Images

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