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检索条件"任意字段=Conference on Image Compression and Encryption Technologies"

共 181 条记录，以下是81-90 订阅

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3-D scattered dataset compression based on Gaussian curvature

3-D scattered dataset compression based on Gaussian curvatur...

引用

conference on image compression and encryption technologies

作者： Li, ZY Li, DH Tang, SW Jing, X Peking Univ Ctr Informat Sci Beijing 100871 Peoples R China

ISBN: (纸本)0819442798

A compression method of 3D scattered dataset based on octree is proposed in this paper. The Gaussian curvature of a surface is used as the criterion to compress the dataset. The points containing more structural information of the shape of a surface will be kept, At the same time, the 3D object surface is decomposed into a set of Local Sur-face Patches (LSPs) using the octree model, and the time-consuming process of can be avoided. Practical experiments show that this method can achieve higher compression rate.

关键词： 3D scattered dataset Gaussian curvature compression octree

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encryption of lossless coded videos

Encryption of lossless coded videos

引用

2019 International conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019

作者： Ammous, Donia Khlif, Naziha Kammoun, Fahmi Masmoudi, Nouri University of Sfax National School of Engineers of Sfax Laboratory of Electronics and Information Technologies Circuit and System Team 'CS' Sfax3038 Tunisia

ISBN: (纸本)9781728151847

Several military files and medical research reports do not tolerate any type of distortion and are at the same time secret to owners. In order to preserve source information and guarantee data security, lossless video compression with encryption seems to be the best alternative. In this work, cryptography was grafted with lossless compression to ensure a high image quality and secure the transmission of such data. Thus, the insertion of the encryption module in the lossless video compression chain appears to be better than the application of compression and encryption separately in terms of computing time. Our developed method reached about 30% gain of total bits and around 75% improvement of the compression ratio proving promising results. © 2019 IEEE.

关键词： Cryptography

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An Authenticated Encrypted Compressive Sensing based Imaging Mechanism 9

An Authenticated Encrypted Compressive Sensing based Imaging...

引用

9th IFIP International conference on New technologies, Mobility and Security (NTMS)

作者： Wu, Tao Ruland, Christoph Univ Siegen Chair Data Commun Syst Siegen Germany

ISBN: (纸本)9781538636626

Compressive Sensing (CS) based imaging (CSI) method can recover N pixel information from only M measurements with N >> M, if the source information is sparse in some domain. With help of CSI mechanism an imaging system could capture information directly, meanwhile, the confidentiality could be also supported with some configuration due to the random projection, i.e., CSI method integrates sensing, compression and encryption in one step. However, image should he also protected against tampering and forgery, which could be realized by providing the origin and integrity. Since CSI method captures measurements instead of pixel information, the authenticity should he provided in an unconventional but semantic way. This paper introduces an Authenticated Encrypted Compressive Sensing based Imaging (AE-CSI) mechanism, which is constructed by the existed CSMAC and improved CSI mechanism, such that the system provides the origin, integrity and confidentiality of the target image while the sensing process.

关键词： Compressive Sensing imaging image authentication semantic authentication message authentication code authenticated encryption

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An alternative method for image encryption by using Neural Networks 15

An alternative method for Image Encryption by using Neural N...

引用

15th International conference on Computing Communication and Networking technologies, ICCCNT 2024

作者： Vollala, Satyanarayana International Institute of Information Technology Department of Computer Science and Engineering Naya Raipur India

ISBN: (纸本)9798350370249

Information security has emerged as a requirement and a hot topic in the modern digital world. The world today is surrounded by tonnes of gigabytes of data generated from digital platforms continually streaming through the Internet. In this perspective, computer scientists are strongly pushed to protect information against unscrupulous persons who evolve quickly with technology. The goal of cryptography is to encrypt and decrypt information by using complex mathematical functions and logics. encryption not only for text data, but image, audio, and video kind of data as well. This research focuses on encryption and decryption of images. Different kinds of image encryption algorithms have been developed upto this point. In each algorithm, pixel permutation and pixel substitution steps are performed by using mathematical functions such as Logistic map, Cubic-logistic map, and Arnold map. Various image cryptanalysis works has been going on these conventional image encryption algorithms. In this work, we introduce a new method of encrypting and decrypting images without using any conventional steps like substitution and permutation of image pixels. This proposed method uses a deep learning technique, i.e., convolutional autoencoders. This method targets both compression and encryption so that images can travel with much speed and security over the network. © 2024 IEEE.

关键词： Autoencoders Convolutional Neural Networks Cryptography Neural Cryptography

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The IP-based storage of image information

The IP-based storage of image information

引用

conference on image compression and encryption technologies

作者： Fu, XL Xie, CS Liu, ZB Huazhong Univ Sci & Technol Natl Storage Syst Lab Comp Sch Wuhan 430074 Peoples R China

ISBN: (纸本)0819442798

With the fast growth of data in multispectral image processing, the traditional storage architecture was challenged, It is currently being replaced by Storage Area Networks (SAN), which makes storage devices externalized from servers. A SAN is a separate network for storage, isolated from the messaging network and optimized for the movement of data between servers and storage devices. Nowadays, most of current SAN use Fibre Channel to move data between servers and storage devices (FC-SAN), but because of the drawbacks of the FC-SAN: poor interoperability, lack of skilled professional and management tools, high implementation cost and so on, the development and application of FC-SAN was obstructed. In this paper, we introduce an IP-based Storage Area Networks architecture, which has the good qualities of FC-SAN but overcomes the shortcoming of it. The principle is: use IP technology to move data between servers and storage devices, build a SAN with the IP-based network devices (not the FC-based network device), and through the switch, SAN is attached to the LAN(Local Area Network) through multiple access. Especially, These storage devices are acted as commercial NAS devices and PC.

关键词： multispectral image processing Storage Area Networks(SAN) IP-based SAN

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IRIS image encryption and Decryption Based Application Using Chaos System and Confusion Technique

引用

International conference on Modeling, Simulation and Optimization, CoMSO 2021

作者： Archana, K. Kumar, Sharath Sashi Gokak, Pradeep P. Pragna, M. Shruthi, M.L.J. Department of Electronics and Communication Engineering PES University RR Campus Karnataka Bangalore India

ISBN: (纸本)9789811908354

In today’s era, Digital image Security is of primary importance and is receiving a huge amount of consideration. Because digital photographs are used in almost all technological fields, confidential data may be present in these images. To maintain the security of these images, several image encryption and decryption techniques have been presented by various authors and academics. We propose a novel approach for IRIS image-based algorithm to perform encryption and decryption in this paper. The image is compressed using the SVD technique, then shuffled based on the confusion pattern. encryption and decryption are performed using a logistic mapping-based chaos technique. The proposed algorithm is compared to several existing techniques in terms of compression ratio, computation time, PSNR, SSIM, and NPCR values. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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Visually Meaningful image encryption Algorithm Based on Parallel Compressive Sensing and Cellular Neural Network 4th

Visually Meaningful Image Encryption Algorithm Based on Para...

引用

4th International conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2021

作者： Zhang, Renxiu Jiang, Donghua Ding, Wei Wang, Ya Wu, Yanan Guang, Yerui Ding, Qun Electronic Engineering College Heilongjiang University Harbin150080 China School of Information Engineering Chang’an University Xi’an710064 China

ISBN: (纸本)9789811640384

At present, most image encryption algorithms protect the image by converting the original image into a visually meaningless noise-like image. However, the noise-like image can easily attract the attention of attackers, which increases the risk of being deciphered. Thus, a novel meaningful image encryption algorithm based on parallel compressive sensing and cellular neural network is proposed in this paper. In our scheme, the image is processed by three modules, namely, compression, encryption and hiding. Among them, the compression module is utilized to compress the plain images in parallel. After that, the encryption module converts the compressed image into a meaningless noise-like image by diffusion and scrambling. Finally, the hiding module realizes the visualization of the encrypted image by embedding the encrypted image into a carrier image, which helps reduce the interest of attacker in deciphering cipher images. Experimental results and analysis indicate that the proposed algorithm has satisfactory performance and can effectively protect image information from being leaked under the premise of reducing computational overhead. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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An energy-efficient image representation for secure mobile systems

引用

4th International IFIP-TC6 Networking conference

作者： Woo, T Gebotys, C Naik, S Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

ISBN: (纸本)3540258094

In a mobile device, two major sources of energy consumption are energy used for computation and energy used for transmission. Computation energy can be reduced by minimizing the time spent on compression. Transmission energy and encryption energy can be reduced by sending a smaller image file that is obtained by compression. image quality is often sacrificed in the compression process. Therefore, users should have the flexibility to control the image quality to determine whether such a tradeoff is acceptable. This paper proposes an energy efficient image representation system using Binary Space Partitioning (BSP) trees. Our experimental result shows that in most cases, our new tree construction and compression formula use only 40% of the original total energy required for compressing and sending images. BSP tree representation also allows partial encryption, which reduces total energy required for secure transmission by reducing the amount of data that needs to be encrypted. Our experimental results show that BSP tree representation is effective in reducing total energy for secure transmission for computer arts images compared to JPEG.

关键词： image reconstruction

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Combination of neural network and advanced encryption and decryption technique is used for digital image watermarking

Combination of neural network and advanced encryption and de...

引用

5th International Symposium on Intelligent Systems technologies and Applications (ISTA) / International conference on Applied Soft Computing and Communication Networks (ACN)

作者： Gonge, Sudhanshu Suhas Vishwakarma Inst Technol Dept Comp Engn Pune Maharashtra India

The computer system represents data in various format viz (i) Audio, (ii) Video, (iii) Text, (iv) Message, and (v) image format. There are many ways through which, data can be easily transferred. The process of transferring digital bank cheque image is done with the help of cheque truncation system. It transfers cheque from home branch to clearing bank branch for faster clearance of customer cheque. This helps the banking system to keep transparency of transaction. During the flow of digital bank cheque image, there may be possibility of various attacks like, Cropping, JPEG compression, Median filtering, Gaussian Blur noise, Rotation, Salt & Pepper noise, etc. This arise the issues of copyright protection and security for digital bank cheque image. In this research work, The Combination of Digital image Watermarking Using Neural Network and Advanced encryption and Decryption Technique is Used for Providing Copyright Protection & Security Technique to Digital Bank Cheque image.

关键词： Digital image watermarking attacks AES encryption decryption neural network

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Radar signal compression using wavelet transforms

Radar signal compression using wavelet transforms

引用

conference on image compression and encryption technologies

作者： Zhou, Y Li, FP Xu, Y Qin, QQ Li, D Command Automat Engn Dept Wuhan 430010 Peoples R China

ISBN: (纸本)0819442798

Generally, the echo of radar can be regarded as a combination of useful signal and noise. In this paper, an efficient wavelet-based non-linear signal compression scheme is presented, which takes full advantage of the two-dimensional correlation consisted in the radar signal. The whole process begins with a 4-scale QMF decomposition, then thresholding, quantization, zerotree scan and finished with arithmetic coding. Since radar signal usually is corrupted by a great amount of noise, a particular process of de-noising is added to the compression. For typical radar signal, testing results show that when compressed at a ratio of 200, the signal is still good fairly. Further more, a new criterion fit for quality evaluation of radar signal, i.e. Morphological Fidelity, is proposed.

关键词： wavelet transform soft-threshold Morphological Fidelity radar echo signal de-noising

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