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Improving the compression and encryption of images using FPGA-based cryptosystems

MULTIMEDIA TOOLS AND APPLICATIONS 2006年第1期28卷 5-22页

作者： Ou, SC Chung, HY Sung, WT Leader Univ Dept Informat Commun Tainan Taiwan Natl Cent Univ Dept Elect Engn Chungli 32054 Taiwan

compression and encryption technologies are important to the efficient solving of network bandwidth and security issues. A novel scheme, called the image compression encryption Scheme (ICES), is presented. It combines the Haar Discrete Wavelet Transform (DWT), Significance-Linked Connected Component Analysis (SLCCA), and the Advance encryption Standard (AES). Because of above reason the ICES efficiently reduce the overall processing time. This study develops a novel hardware system to compress and encrypt an image in real-time using an image compression encryption scheme. The proposed system exploits parallel processing to increase the throughout of the cryptosystem for Internet multimedia applications to implement the ICES. Using hardware acceleration for encryption and decryption, the FPGA implementation of DWT, SLCCA and the AES algorithm can be used. Using a pipeline structure, a very high data throughput of 330 Mbit/s at a clock frequency of 40 MHz was obtained. Therefore, the ICES is secure, fast and suited to high speed network protocols such as ATM (Asynchronous Transfer Mode), FDDI (Fiber Distributed Data Interface) or Internet multimedia applications.

关键词： discrete wavelet transform (DWT) significance-linked connected component analysis (SLCCA) advance encryption standard (AES) image compression encryption scheme (ICES)

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image compression-encryption scheme based on hyper-chaotic system and 2D compressive sensing

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OPTICS AND LASER TECHNOLOGY 2016年 82卷 121-133页

作者： Zhou, Nanrun Pan, Shumin Cheng, Shan Zhou, Zhihong Nanchang Univ Dept Elect Informat Engn Nanchang 330031 Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Integrate Adm Technol Informat S Shanghai 200240 Peoples R China Jiangxi Vocat Coll Mech & Elect Technol Dept Elect Engn Nanchang 330013 Peoples R China

Most image encryption algorithms based on low-dimensional chaos systems bear security risks and suffer encryption data expansion when adopting nonlinear transformation directly. To overcome these weaknesses and reduce the possible transmission burden, an efficient image compression-encryption scheme based on hyper-chaotic system and 2D compressive sensing is proposed. The original image is measured by the measurement matrices in two directions to achieve compression and encryption simultaneously, and then the resulting image is re-encrypted by the cycle shift operation controlled by a hyper-chaotic system. Cycle shift operation can change the values of the pixels efficiently. The proposed cryptosystem decreases the volume of data to be transmitted and simplifies the keys distribution simultaneously as a nonlinear encryption system. Simulation results verify the validity and the reliability of the proposed algorithm with acceptable compression and security performance. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： image compression-encryption Compressive sensing Hyper-chaotic system

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A compression sensing and noise-tolerant image encryption scheme based on chaotic maps and orthogonal matrices

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NEURAL COMPUTING & APPLICATIONS 2017年第1-Sup期28卷 S953-S967页

作者： Ahmad, Jawad Khan, Muazzam A. Hwang, Seong Oun Khan, Jan Sher HITEC Univ Dept Elect Engn Taxila Pakistan Natl Univ Sci & Technol Dept Comp Engn Islamabad Pakistan Hongik Univ Dept Comp & Informat Commun Engn Seoul South Korea

With the evolution of technologies, the size of an image data has been significantly increased. However, traditional image encryption schemes cannot handle the emerging problems in big data such as noise toleration and compression. In order to meet today's challenges, we propose a new image encryption scheme based on chaotic maps and orthogonal matrices. The main core of the proposed scheme is based on the interesting properties of an orthogonal matrix. To obtain a random orthogonal matrix via the Gram Schmidt algorithm, a well-known nonlinear chaotic map is used in the proposed scheme to diffuse pixels values of a plaintext image. In the process of block-wise random permutation, the logistic map is employed followed by the diffusion process. The experimental results and security analyses such as key space, differential and statistical attacks show that the proposed scheme is secure enough and robust against channel noise and JPEG compression. In addition to complete encryption for higher security, it also supports partial encryption for faster processing as well.

关键词： Chaotic maps image encryption AWGN compression Partial encryption DCT

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image compression and encryption scheme based on 2D compressive sensing and fractional Mellin transform

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OPTICS COMMUNICATIONS 2015年 343卷 10-21页

作者： Zhou, Nanrun Li, Haolin Wang, Di Pan, Shumin Zhou, Zhihong Nanchang Univ Dept Elect Informat Engn Nanchang 330031 Peoples R China Beijing Univ Posts & Telecommun Informat Secur Ctr Beijing 100876 Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Integrate Adm Technol Informat S Shanghai 200240 Peoples R China

Most of the existing image encryption techniques bear security risks for taking linear transform or suffer encryption data expansion for adopting nonlinear transformation directly. To overcome these difficulties, a novel image compression-encryption scheme is proposed by combining 2D compressive sensing with nonlinear fractional Mellin transform. In this scheme, the original image is measured by measurement matrices in two directions to achieve compression and encryption simultaneously, and then the resulting image is re-encrypted by the nonlinear fractional Mellin transform. The measurement matrices are controlled by chaos map. The Newton Smoothed l(0) Norm (NSL0) algorithm is adopted to obtain the decryption image. Simulation results verify the validity and the reliability of this scheme. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Compressive sensing Fractional Mellin transform NSL0 algorithm Logistic map image encryption

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Concatenated image compression and encryption 4

Concatenated Image Compression and Encryption

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4th International Symposium on Advanced Electrical and Communication technologies (ISAECT)

作者： Alshaya, Abdulaziz Komies, Saleh King Abdulaziz City Sci & Technol KACST Natl Ctr Elect & Photon Riyadh Saudi Arabia Imperial Coll London Elect & Elect Engn London England

ISBN: (纸本)9781665437738

In recent years, there have been increasing demands for applications of image storage, sharing and transmission across data networks. For these data-intensive and sensitive applications, it is imperative to perform both image compression and encryption. In this paper, two different approaches of image compression and encryption were studied and compared. In the first approach, image compression was followed by encryption;while, in the second approach, image encryption was followed by compression. Both approaches were implemented based on standard schemes, i.e., JPEG 2000 lossless compression and DES encryption. Experiments were conducted for two different types of testing images: a natural image and a medical image. The efficiency performance of the two approaches was compared based on key parameters such as MSE, PSNR, entropy, image file size, compression ratio and time consumption. We found that the first approach outperformed the second for both testing images. The results are presented and analysed along with recommendations for related future work.

关键词： compression encryption DES JPEG 2000 entropy PSNR

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SCAN image compression encryption HARDWARE SYSTEM

SCAN IMAGE COMPRESSION ENCRYPTION HARDWARE SYSTEM

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Conference on Digital Video compression - Algorithms and technologies 1995

作者： BOURBAKIS, NG BRAUSE, R ALEXOPOULOS, C SUNY BINGHAMTON DEPT EEAAAI LABBINGHAMTONNY 13902

ISBN: (纸本)0819417661

This paper deals with the hardware design of an image compression/encryption scheme called SCAN. The scheme is based on the principles and ideas reflected by the specification of the SCAN language. SCAN is a fractal based context-free language which accesses sequentially the data of a 2D array, by describing and generating a wide range (near (nxn)) of space filling curves (or SCAN patterns) from a short set of simple ones. The SCAN method uses the algorithmic description of each 2D image as SCAN patterns combinations for the compression and encryption of the image data. Note that each SCAN letter or word accesses the image data with a different order (or sequence), thus the application of a variety of SCAN words associated with the compression scheme will produce various compressed versions of the same image. The compressed versions are compared in memory size and the best of them with the smallest size in bits could be used for the image compression/encryption. Note that the encryption of the image data is a result of the great number of possible space filling curves which could be generated by SCAN. Since the software implementation of the SCAN compression/encryption scheme requires some time, the hardware design and implementation of the SCAN scheme is necessary in order to reduce the image compression/encryption time to the real-time one. The development of such an image compression encryption system will have a significant impact on the transmission and storage of images. It will be applicable in multimedia and transmission of images through communication lines.

关键词： SCAN LANGUAGE image compression image DECOMPOSITION SCANNING ALGORITHMS image encryption

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A game theory-based block image compression method in encryption domain

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JOURNAL OF SUPERCOMPUTING 2015年第9期71卷 3353-3372页

作者： Liu, Shaohui Paul, Anand Zhang, Guochao Jeon, Gwanggil Harbin Inst Technol Sch Comp Sci & Technol Harbin 150001 Peoples R China Kyungpook Natl Univ Sch Comp Sci & Engn Taegu South Korea Incheon Natl Univ Dept Embedded Syst Engn Coll Informat & Technol Inchon South Korea

With the development of digital imaging technology and the prevalence of mobile devices with camera, internet privacy has been a growing concern for public. Especially in some private chat groups in social network, for example, Facebook, WeChat, and MySpace, some people want to share their personal images by internet service provider without leaking this information while the internet service provider can also take some additional measures on these images, for example, reducing the network bandwidth. How to provide technologies or software with such functionalities, usually conflicting goals, becomes increasingly urgent in both academia and industry. image encryption is a choice;however, it does not provide the additional function needed by internet service providers. Recently, game theory is widely used in network security to solve such problem with conflicting goals. In fact, there is a game theory between users and service providers. This paper proposes a block-based image compression method in encrypted domain which provides not only the privacy protection capability but also the additional operation capability needed by internet service providers. This block-based method can be formulated as a game theoretical problem and can be optimized by game theory. First, the image to be shared will be encrypted in block-by-block way by owner with simple encryption operation. Second, the service providers can send the part or full of the encrypted image stream according to the available bandwidth with an adaptive parameter sets. Finally, the intended receivers can decrypt the received encrypted stream to recover the image. Extensive experiments show that the proposed algorithm improves the compression performance compared with the-state-of algorithms.

关键词： image compression in encrypted domain image encryption Privacy protection Game theory Network content security

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Partial encryption of Wavelet Compressed images

Partial Encryption of Wavelet Compressed Images

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International Conference on Advanced Computer Science Applications and technologies (ACSAT)

作者： AbdulSalam, Ayad A. Univ Baghdad Coll Educ Women Baghdad Iraq

ISBN: (纸本)9780769549590;9781467358323

This work focuses its goal on the reduction in computational cost for image encryption. Bit selection for partial encryption is applied in this paper to show haw can match applications requirements without the overhead of full encryption. The suggested encryption process can be performed during the image compression process, which is based on wavelet transform. The technique is built to reduce the encryption time and keep the compliant with the wavelet format. Histogram of encrypted image used to determine the quality of partial encryption, without the need to compare with original one.

关键词： compression bit selection partial encryption histogram wavelwt transform

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Efficient encryption of wavelet-based coded color images

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PATTERN RECOGNITION 2005年第7期38卷 1111-1115页

作者： Martin, K Lukac, R Plataniotis, KN Univ Toronto Edward S Rogers Sr Dept ECE Multimedia Lab Toronto ON M5S 3G4 Canada

An efficient, secure color image coder incorporating Color-SPIHT (C-SPIHT) compression and partial encryption is presented. Confidentiality of the image data is achieved by encrypting only the significance bits of individual wavelet coefficients for K iterations of the C-SPIHT algorithm. By varying K, the level of confidentiality vs. processing overhead can be controlled. For K = 2, adequate security is achieved and an average of only 0.40% of bits needed encrypting for test images coded at 0.8 bpp. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

关键词： image encryption partial encryption secure coding secure wavelet based coding secure SPIHT

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Applications of generalized computing in image compression coding

Applications of generalized computing in image compression c...

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Conference on image compression and encryption technologies

作者： Yao, M Luo, JH Wu, M Zhejiang Univ Dept Comp Hangzhou 310027 Peoples R China

ISBN: (纸本)0819442798

Data compression is one of key techniques in image processing, To begin with, this paper discusses the actuality of image compression coding, and then introduces generalized computing concept, Finally, by introducing knowledge to date compression, this paper presents a kind of intelligent image compression model (IICM) based on generalized computing.

关键词： data compression image processing generalized computing

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