A reversible watermarking scheme for ownership protection and authentication of medical Images

Kunhu, Alavi; Al-Ahmad, Hussain; Mansoori, Saeed Al

doi:10.1109/icecta.2017.8251971

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…1. Watermarking makes it possible for two parties to secretly communicate over an open channel, which is problematic for authorized users [1]. Alice and Bob, two authorized users, intend to collaborate to create an invisible watermark scheme.…”

Section: Preliminarymentioning

confidence: 99%

“…The DCT process is first carried out on each block individually after splitting 8 × 8 blocks of the original image, 𝑰, via the JPEG compression process, as shown in Eq. (1). The size of the original image is presumed to be multiples of eight.…”

Section: Jpeg Compression Processmentioning

confidence: 99%

“…The protection of intellectual property rights is another issue that is becoming increasingly important as a result of the volume of digital images that are distributed on the Internet every day. Hence, given the potential security flaws of the open Internet, it is a difficult problem to secure the integrity of received images as well as the original ownership [1]. Intellectual property can be secured and protected with the help of digital watermarking [2,3].…”

Section: Introductionmentioning

confidence: 99%

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A Block-Based Image Characteristics Robust Watermarking with Optimal Embeddable AC Coefficient

2023

IJIES

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Due to extensive Internet usage, digital media can be quickly altered, copied, and distributed via information networks. As a result, digital information's illicit reproduction became a serious issue. As a means of copyright protection for digital media, digital watermarking has been demonstrated to be effective. Based on a discrete cosine transform (DCT), an improved robust watermarking technique considering image characteristics, a 1-D linear transformation, and an optimal embeddable AC coefficient is proposed in this paper. The host image is first divided into 8 x 8 non-overlapping block and block selection for DCT transformation is performed. The variance in each block is used to identify the embedding watermark location. A linear map is used to scramble the watermark image, which is embedded into the AC coefficients which has a maximum difference between embeddable and non-embeddable non-zero AC coefficients. Experiment results show that the suggested approach can withstand a range of a nonmalicious attack with very satisfactory results for BER close to 0, and NC near to 1.

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Section: Preliminarymentioning

confidence: 99%

Section: Jpeg Compression Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Block-Based Image Characteristics Robust Watermarking with Optimal Embeddable AC Coefficient

2023

IJIES

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“…Digital watermarking methods are mainly used in healthcare [25], remote sensing [22] and industrial [18,24] application areas for the purpose of ownership identification [30], copyright protection [49], fingerprinting [32,33,36], monitoring [10,19,20] and forgery detection [12]. With respect to the watermark embedding domain digital watermarking methods like steganography [26,27,29,35] can be generally classified as spatial domain methods and transform domain methods such as discrete Fourier transform [34], discrete cosine transform [1,3,23], discrete wavelet transform [2,17,21,41,42].…”

Section: Related Workmentioning

confidence: 99%

A novel triple recovery information embedding approach for self-embedded digital image watermarking

Gül

Öztürk

2020

Multimed Tools Appl

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Image tamper detection and recovery has become an important issue in recent years. In order to detect and recover high tampering rated images, this paper presents a novel selfembedded fragile watermarking method with triple recovery information embedding approach. In this proposed method host image is divided into sixteen main blocks. Four partner blocks are selected from main blocks as a partner group using Look-Up table which is constructed for recovery against high tampering rated images. Each partner block is divided into 4 × 4 blocks. Recovery data of each partner block is generated from the mean values of the 4 × 4 blocks. Then, triple recovery information for each partner block is constructed by combining recovery data of the three other partner blocks. After the generation of the recovery information, each partner block is divided into 16 × 16 blocks. Then, these blocks are divided into four 8 × 8 sub-blocks. Recovery bits for each partner block are embedded into the first and second least significant bits (LSBs) of the first three sub-blocks. It means that triple copies of recovery information for each partner block are embedded into three other blocks in the image, which provides triple chance for recovery of the tampered areas. On the other hand, authentication information is generated from the pixels of the 16 × 16 recovery information embedded image blocks by using MD5 hash function. This authentication information is embedded into the quarter part of each 16 × 16 block by using LSB substitution. The performance of the proposed method has been demonstrated by applying different size of cropping attacks to the different areas of the watermarked images. Experimental results show that the proposed method satisfactory recovers up to 75% tampering rated images.

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Advancements in Reversible Data Hiding Techniques and Its Applications in Healthcare Sector

Padmaja

Suraj

Manikandan

2022

Studies in Computational Intelligence

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A reversible watermarking scheme for ownership protection and authentication of medical Images

Cited by 10 publications

References 5 publications

A Block-Based Image Characteristics Robust Watermarking with Optimal Embeddable AC Coefficient

A Block-Based Image Characteristics Robust Watermarking with Optimal Embeddable AC Coefficient

A novel triple recovery information embedding approach for self-embedded digital image watermarking

Advancements in Reversible Data Hiding Techniques and Its Applications in Healthcare Sector

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