scholarly journals Reed Solomon Coding-Based Medical Image Data Hiding Method against Salt and Pepper Noise

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 899 ◽  
Author(s):  
Mehmet Zeki Konyar ◽  
Sıtkı Öztürk
Keyword(s):  
Data Hiding ◽  
Patient Information ◽  
Medical Images ◽  
Experimental Studies ◽  
Secret Message ◽  
Salt And Pepper Noise ◽  
Patient Privacy ◽  
Secret Data ◽  
Stego Image ◽  
Salt And Pepper

Medical data hiding is used to hide patient information inside medical images to protect patient privacy. Patient information in the image should be protected when sending medical images to other specialists or hospitals over the communication network. However, the images are exposed to various unwanted disruptive signals in the communication channel. One of these signals is salt and pepper noise. A pixel exposed to salt and pepper noise becomes completely black or completely white. In pixel-based data hiding methods, it is not possible to extract the secret message in the pixel exposed to this kind of noise. While current data hiding methods are good for many disruptive effects, they are weak against salt and pepper noise. For this reason, the proposed study especially focuses on the accurate extraction of patient information in the salt and pepper noisy medical images. This study was proposed for the most accurate extraction of secret message despite salt and pepper noise, by use of a Reed Solomon error control coding-based data hiding method. The most important feature of Reed Solomon codes is that they can correct errors in non-binary (decimal) numbers directly. Therefore, the Reed Solomon coding-based data hiding method that proposed in this study increases the resistance against salt and pepper noise. Experimental studies show that secret data is accurately extracted from stego images with various densities of salt and pepper noise. Stego medical images created by the proposed method have superior quality values compared to similar literature studies. Additionally, compared to similar methods, the secret message is extracted from the noisy stego image with higher accuracy.

scholarly journals Taylor expansion based stereo image reversible data hiding

2020 ◽  
Author(s):  
Xinyang Ying ◽  
Guobing Zhou
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Taylor Expansion ◽  
Stereo Image ◽  
Embedding Capacity ◽  
Stereo Images ◽  
Secret Data ◽  
Stego Image ◽  
Multi Level

Abstract The reversible data hiding allows original image to be completely recovered from the stego image when the secret data has been extracted, it is has drawn a lot of attentions from researchers. In this paper, a novel Taylor Expansion (TE) based stereo image reversible data hiding method is presented. Since the prediction accuracy is essential to the data hiding performance, a novel TE based predictor using correlations of two views of the stereo image is proposed. TE can fully exploit strong relationships between matched pixels in the stereo image so that the accuracy of the prediction can be improved. Then, histogram shifting is utilized to embed data to decrease distortion of stereo images, and multi-level hiding can increase embedding capacity. Experimental results show that the proposed method is superior to some existing data hiding methods considering embedding capacity and the quality of the stego stereo images.

Reversible data hiding method based on pixel expansion and homomorphic encryption

2020 ◽  
Vol 39 (3) ◽  
pp. 2977-2990
Author(s):  
R. Anushiadevi ◽  
Padmapriya Praveenkumar ◽  
John Bosco Balaguru Rayappan ◽  
Rengarajan Amirtharajan
Keyword(s):  
Image Quality ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Signal To Noise Ratio ◽  
Homomorphic Encryption ◽  
Secret Message ◽  
Pixel Expansion ◽  
Stego Image ◽  
Encrypted Image ◽  
Location Map

Digital image steganography algorithms usually suffer from a lossy restoration of the cover content after extraction of a secret message. When a cover object and confidential information are both utilised, the reversible property of the cover is inevitable. With this objective, several reversible data hiding (RDH) algorithms are available in the literature. Conversely, because both are diametrically related parameters, existing RDH algorithms focus on either a good embedding capacity (EC) or better stego-image quality. In this paper, a pixel expansion reversible data hiding (PE-RDH) method with a high EC and good stego-image quality are proposed. The proposed PE-RDH method was based on three typical RDH schemes, namely difference expansion, histogram shifting, and pixel value ordering. The PE-RDH method has an average EC of 0.75 bpp, with an average peak signal-to-noise ratio (PSNR) of 30.89 dB. It offers 100% recovery of the original image and confidential hidden messages. To protect secret as well as cover the proposed PE-RDH is also implemented on the encrypted image by using homomorphic encryption. The strength of the proposed method on the encrypted image was verified based on a comparison with several existing methods, and the approach achieved better results than these methods in terms of its EC, location map size and imperceptibility of directly decrypted images.

scholarly journals A Formula Adaptive Pixel Pair Matching Steganography Algorithm

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Min Long ◽  
Fenfang Li
Keyword(s):  
Secret Message ◽  
Secret Data ◽  
Stego Image ◽  
Pixel Pair ◽  
Pair Matching ◽  
The Look ◽  
The Given ◽  
Notational System ◽  
Additional Space ◽  
Selection Of

Pixel pair matching (PPM) is widely used in digital image steganography. As an important derivation, adaptive pixel pair matching method (APPM) offers low distortion and allows embedded digits in any notational system. However, APPM needs additional space to store, calculate, and query neighborhood set, which needs extra cost. To solve these problems, a formula adaptive pixel pair matching (FAPPM) method is proposed in this paper. The basic idea of FAPPM is to use the formula to get the stego image pixel pair without searching the neighborhood set for the given image pixel pair. This will allow users to embed secret message directly without storing and searching the look-up table. Experimental results and analysis show that the proposed method could embed secret data directly without searching the neighborhood sets by using a formula and it still maintains flexibility in the selection of notional system, high image quality, and strong anti-steganalysis ability.

scholarly journals Reversible difference expansion multi-layer data hiding technique for medical images

2021 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Pascal Maniriho ◽  
Leki Jovial Mahoro ◽  
Zephanie Bizimana ◽  
Ephrem Niyigaba ◽  
Tohari Ahmad
Keyword(s):  
Data Hiding ◽  
Medical Images ◽  
Signal To Noise Ratio ◽  
Data Communication ◽  
Low Complexity ◽  
Difference Expansion ◽  
Stego Image ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Private Data

Maintaining the privacy and security of confidential information in data communication has always been a major concern. It is because the advancement of information technology is likely to be followed by an increase in cybercrime, such as illegal access to sensitive data. Several techniques were proposed to overcome that issue, for example, by hiding data in digital images. Reversible data hiding is an excellent approach for concealing private data due to its ability to be applied in various fields. However, it yields a limited payload and the quality of the image holding data (Stego image), and consequently, these two factors may not be addressed simultaneously. This paper addresses this problem by introducing a new non-complexity difference expansion (DE) and block-based reversible multi-layer data hiding technique constructed by exploring DE. Sensitive data are embedded into the difference values calculated between the original pixels in each block with relatively low complexity. To improve the payload capacity, confidential data are embedded in multiple layers of grayscale medical images while preserving their quality. The experiment results prove that the proposed technique has increased the payload with an average of 369999 bits and kept the peak signal to noise ratio (PSNR) to the average of 36.506 dB using medical images' adequate security the embedded private data. This proposed method has improved the performance, especially the secret size, without reducing much the quality. Therefore, it is suitable to use for relatively big payloads.

scholarly journals FPGA based Data Hiding through Steganography

2020 ◽  
Vol 9 (1) ◽  
pp. 2042-2045
Keyword(s):  
Data Hiding ◽  
Field Programmable Gate Array ◽  
High Capacity ◽  
Cover Image ◽  
Secret Message ◽  
Stego Image ◽  
Key Factor ◽  
Field Programmable ◽  
Shared Information ◽  
Hidden Data

Nowadays, the information security has been the key factor in communications, computer systems, electronic commerce and data sharing. One of the well-known methods for procuring the security of shared information using carrier files is steganography. The carrier file can be discrete such as image, text, audio and video etc. Digital images are the most commonly used format among those due to the high capacity and availability frequency. The hidden data is stored in an indistinct carrier in image steganography, i.e the digital image is used as a cover image to mask the secret message known as stego image. Cryptography can be then adapted for increasing the security of the stego image. A zig-zag MSB-LSB slicing based steganographic algorithm is proposed in this paper for concealing a secret image in a cover image. Power report and device utilization summary of the algorithm is calculated and the output is demonstrated on the VGA screen using BASYS3 Field Programmable Gate Array (FPGA).

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