Crypto-compression of medical image based on DCT and chaotic system

Dridi, Manel; Bouallègue, Belgacem; Mtibaa, Abdellatif

doi:10.1109/gscit.2014.6970113

Cited by 7 publications

(6 citation statements)

References 8 publications

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“…AES is one of the most known encryption systems for data protection. Invented in 1998 by Joan Daemen and Vincet Rijmen and proved in 2000 by NIST [32][33][34], AES encryption has been widely deployed thanks to its high performance. In effect, AES is reliable which offers high level security, high robustness, wide portability, fast, and easy to implement.…”

Section: Aes (Advanced Encryption Standardmentioning

confidence: 99%

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Ajili

Hajjaji

Mtibaa

2021

Scientific Programming

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We propose a novel method for medical image watermarking in the DCT domain using the AES encryption algorithm. First, we decompose the original medical image into subblocks of 8 × 8. Besides, we apply the DCT and the quantization, respectively, to each subblock. However, in the DCT domain, an adequate choice of the DCT coefficients according to the quantization table in the middle frequencies band is performed. After that, we embed the patient’s data into the corresponding medical image. The insertion step is carried out just after the quantization phase. To increase the robustness, we encrypt the watermarked medical images by using the AES algorithm based on chaotic technique. Arnold’s cat map is used to shuffle the pixel values, and a chaotic Henon map is utilized to generate an aleatory sequence for the AES algorithm. The shuffled watermarked image is encrypted using the modified AES algorithm. The constant of Weber is used to choose the suitable visibility factor for embedding a watermark with high robustness. To control identification, after application of attacks, we use the serial turbo code for correction of the watermark to recover the data inserted. The average peak signal-to-noise ratio (PSNR) of the medical images obtained is 61,7769 dB. Experimental results demonstrate the robustness of the proposed schema against various types of attacks.

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Section: Aes (Advanced Encryption Standardmentioning

confidence: 99%

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Ajili

Hajjaji

Mtibaa

2021

Scientific Programming

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“…Manel Dridi et al [6],introduced a mechanism by integrating the encryption and compression that is an improvedtechnique. The encryption procedure is dependent on the chaotic system (Arnold cat map and Henon map) and Advanced Encryption Standard (AES).…”

Section: Literature Surveymentioning

confidence: 99%

“…The important benefit of neural network can be predicted since it can adjust itself from the training data. [6] For getting a better Compressed Image with no deterioration of the quality of Image, the Compression Ratio (CR) should be less and the Peak Signal to Noise Ratio (PSNR) should be high. Therefore in this research work, these two algorithms viz., DWT and ANFIS provides better CR and PSNR.…”

Section: Third Level Decompositionmentioning

confidence: 99%

Discrete Wavelet Transform with Adaptive Network-Based Fuzzy Inference System for Compression of Images

Mahendiran¹,

Deepa²

2019

IJITEE

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Image Encryption has a significant role to play in different fields like information security.Images are encryptedfor various purposes. Compression refers to the process that is carried out once the encryption is completed. In this review work, a hybrid technique has been followed for image encryption and decryption. First, input images are sent for preprocessing employing the median filter with the aim of removing the noise that is regarded to be unnecessary. This elimination process aids in improving the quality of the particular image. So the denoised image can be divided into different segments with the goal of encrypting the various blocks of images. This way, the required and unwanted blocks can be found during this above mentioned process. Encryption technique would follow Hybrid Chaos along with Discrete Cosine Transform shortly known as DCT. The encrypted image is then compressed with the help of Discrete Wavelet Transform (DWT) With Adaptive Network-Based Fuzzy Inference System (ANFIS). The experimental results indicate that the newly introduced DWT-ANFIS based compression attains a better performance in comparison with the availablecompression approaches in terms of Compression Ratio (CR) and Peak-Signal-Noise-Ratio (PSNR)

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“…He presented that minor change in the starting points of climate model could produce huge difference in the resulting weather. That means any change even if very slight change in the starting condition lead to make change in output of the system, this called the sensitivity of the initial state [10]. Lorenz system has the characteristic of the chaotic system which mathematically represented in the three dimensional equations as the following [11]:…”

Section: Lorenz Systemmentioning

confidence: 99%

Secure Video Exchange System Based on Stream Cipher and Lorenz System

Hamood¹,

Ibrahem²

2018

International Advanced Research Journal in Science, Engineering

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The huge development in communication, multimedia and networks technologies lead to huge increase in using and transmitting of digital video, with that development the need for securing of these digital data is increased. Video encryption is vastly used to provide security for digital video. In this paper a system for secure video exchange is suggested, which consist of proposed video encryption method based on stream cipher and chaotic system as a key generator. Chaotic systems have been used successfully with cryptography. Chaotic system has characteristic make it suitable to be used in encryption such as pseudo-randomness, and sensitivity to initial conditions. Secure Video exchange system with proposed video encryption method have been successfully designed and implemented, the analysis results and tests on the system demonstrated that the encryption method has good results in term of speed and security.

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Crypto-compression of medical image based on DCT and chaotic system

Cited by 7 publications

References 8 publications

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Discrete Wavelet Transform with Adaptive Network-Based Fuzzy Inference System for Compression of Images

Secure Video Exchange System Based on Stream Cipher and Lorenz System

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