Reversible data-hiding for progressive image transmission

The research in the domain of reversible data hiding got much attention in recent years due to its wide applications in medical image transmission and cloud computing. Reversible data hiding during image encryption is a recently emerged framework for hiding secret data into an image during the image encryption process. In this manuscript, we propose a new reversible data hiding through encryption scheme which will ensure a high embedding rate without bringing any additional overhead of key handling. The proposed algorithm can use any secure symmetric encryption scheme, and the encryption and/or decryption key should be shared with the receiver for data extraction and image recovery. As per the proposed scheme, the data hider can hide three-bits of secret message in an image block of size $B\times B$ pixels. The data extraction image recovery will be carried out by analyzing the closeness between adjacent pixels. The simulation of the new scheme on the USC-SIPI dataset shows that the proposed scheme outperforms the well-known existing schemes in embedding rate and bit error rate.

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Authenticated Medical Image Transmission using Enhanced Reversible Data Hiding (RDH) with NNP2 Algorithm and Rhombus Prediction

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d8847.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 12188-12192

Keyword(s):

Data Hiding ◽

Reversible Data Hiding ◽

Medical Information ◽

Medical Images ◽

Chinese Remainder Theorem ◽

Image Transmission ◽

Hiding Capacity ◽

Distortion Level ◽

Home Monitor ◽

Nearest Neighborhood

During the last few years, the medical information of concerned patient is transferred from one doctor to another doctor via internet for better diagnosis and studies. Transferring medical information over a transmission medium is known as telemedicine. Telemedicine has been used to overcome distance barriers and to improve access to medical service. The telemedicine application includes emergency treatment, home monitor, military applications, and medical education. These medical images are corrupted by hackers when it is transferred through internet. Hence security of medical images is necessary. Watermarking is used for providing security while transferring medical images. Reversible Data Hiding (RDH) is one of the efficient methods for secure transmission of medical images. In this method, data hiding capacity is very small and the distortion level of recovers images is very large. To avoid these drawbacks, Nearest Neighborhood Pixel Prediction (NNP2 ) algorithm based on Chinese Remainder Theorem (CRT) is proposed and Rhombus Prediction is applied in NNP2 to increase data hiding capacity. The distortion level is reduced by Histogram Shifting. The performance of proposed method is evaluated using PSNR for number of medical images. The results shows that the proposed method gives good results when compared with traditional methods.

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Medical Image Key Area Protection Scheme Based on QR Code and Reversible Data Hiding

Security and Communication Networks ◽

10.1155/2021/5511806 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Zelin Zhang ◽

Jian Xu ◽

Bin Ma ◽

Chunpeng Wang ◽

Jian Li ◽

...

Keyword(s):

Data Hiding ◽

Patient Information ◽

Reversible Data Hiding ◽

Medical Image ◽

Image Data ◽

Image Transmission ◽

Qr Code ◽

Lesion Area ◽

Protection Scheme ◽

Copyright Information

Medical image data, like most patient information, has high requirements for privacy and confidentiality. To improve the security of medical image transmission within the open network, we proposed a medical image key area protection algorithm based on reversible data hiding. First, the coefficient of variation is used to identify the key area, that is, the lesion area of the image. Then, the other regions are divided into blocks to analyze the texture complexity. Next, we propose a new reversible data hiding algorithm, which embeds the content of the key area into the high-texture regions. On this basis, a quick response (QR) code is generated using the ciphertext of the basic image information to replace the original lesion area. Experimental results show that this method can not only safely transmit sensitive patient information by hiding the content of the lesion, it can also store copyright information through QR code and achieve accurate image retrieval.

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