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

共 257 条记录，以下是111-120 订阅

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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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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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A robust and secure scheme for image communication over wireless channels

A robust and secure scheme for image communication over wire...

引用

ETW'05 - 7th IEEE Emerging technologies Workshop: Circuits and Systems for 4G Mobile Communications 2005

作者： Deergha Rao, K. IEEE India Research and Training Unit for Navigational Electronics Osmania University Hyderabad. 500007 India

ISBN: (纸本)5742208952

Chaos based encryption may offer new quality in secure data transmission. Many chaotic image encryption and decryption algorithms have been reported in the literature. However, the feature of higher compression of the still image standard JPEG200 can not be achieved on the compression of chaotic images. The error resilient tools do not correct transmission errors. Furthermore, these tools do not apply to the image header which is the most important part of the codestream. To be suitable for wireless multimedia applications, JPEG 2000 has to be robust to transmission errors. Hence, in this paper, a scheme called chaotic JPEG2000 is proposed to utilize the higher compression feature of the JPEG2000 for secure image source coding. Further, the proposed chaotic JPEG2000 is robustified by turbo channel coding for image communication over wireless channels with burst errors. The efficacy of the proposed scheme is demonstrated though implementation results for an image communication over Gaussian impulsive noisy wireless channels.

关键词： Wireless telecommunication systems

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A Survey on image encryption using Elliptic Curve Cryptography 7

A Survey on Image Encryption using Elliptic Curve Cryptograp...

引用

7th International Conference on Inventive Computation technologies, ICICT 2024

作者： Deep, Mothukuri Mani Praveen, Mamidi Naveen Durga Deekshith, Patnana Sai Viswa Teja, Perla Kannaiah, Sathish Kumar Prasad, K.V. Koneru Lakshmaiah Education Foundation Computer Science And Engineering Ap Vaddeswaram India

ISBN: (纸本)9798350359299

Elliptic Curve Cryptography (ECC) is a way to keep information secure. It is better than RSA because it can provide the same level of security with smaller codes. This causes less use of resources and lower memory needs. ECC surpasses RSA in several aspects, including lower bandwidth usage, faster computational times, and smaller key dimensions. Moreover, ECC can be effectively employed for image encryption. This paper explores the application of ECC in image encryption using MATLAB as the platform, delving into the processes of encryption, compression, and decryption. © 2024 IEEE.

关键词： Geometry

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Method of Information Hiding Based on the Theory of Wavelet Transform

Method of Information Hiding Based on the Theory of Wavelet ...

引用

6th International Symposium on Advanced Optical Manufacturing and Testing technologies (AOMATT) - Optical System technologies for Manufacturing and Testing

作者： Ma, Zuohong Hua, Wenshen Li, Xiaoming Zhang, Yue Mech Engn Coll Dept Opt & Elect Engn Shijiazhuang 050003 Peoples R China

ISBN: (纸本)9780819491022

In combination of the advantages of the optical encryption technology and optical hiding technology, this paper is going to reveal the way of hiding the encrypted result obtained from scrambling technology in the low-frequency coefficients of secondary discrete wavelet transform domain of another public image. Meanwhile, the information in different pixels is hidden by different coefficient matrixes generated by chaos technology in the hiding process. It makes the encrypted result more difficult to decipher. The proposed method is proved to be a valid approach for hiding the confidential information as secret image in another non-confidential image via computer simulation and validation. The quality decline of the carrier image is unapparent, which is unlikely to cause the attackers' attention. This method can effectively resist the influence of noise, cutting, compression and other attacks. What's more, the broad key space and good robustness are of high practical value.

关键词： Discrete Wavelet Transform Optical Transform Information encryption Information Hiding Chaos Technology Scrambling Technology

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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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A fractal-coding-like lossless binary image compressing method

A fractal-coding-like lossless binary image compressing meth...

引用

Conference on image compression and encryption technologies

作者： Zhang, TX Tong, XF Zuo, Z Li, Y Huazhong Univ Sci & Technol State Key Lab Image Proc & Intelligent Control Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)0819442798

A new binary image lossless compressing method is proposed, which regards a binary image as being constructed of a limited number of fractal elements that have undergone a series of operations such as contraction/dilation, embedding and jointing. Therefore, coding compression for an image is mainly a process of acquiring its specific fractal structure. This algorithm defines 16 basic elements of size 2x2, which can be dilated to power of 2 or put together side by side when of the same type to make up a self-similar element set in different *** element set constitutes the codebook of fractal-like-coding. Prior to coding, it is necessary to carry out decorrelation operation of an image and then perform sliding matching on the image with the elements to find the best matching element that meets appropriate matching merit. Record the error subimage that may have formed owing to incomplete matching. Then carry out dynamic segment designates coding for the error image featuring a sparse matrix form. Finally perform arithmetic coding for the code characters sequence obtained. It has been demonstrated by testing images of different complexities that the new method is very efficient to encode binary images.

关键词： image compression fractal elements decorrelation fractal-like-coding dynamic segment designate coding hybrid coding

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An image coding algorithm using a new VQ distortion measure

An image coding algorithm using a new VQ distortion measure

引用

Conference on image compression and encryption technologies

作者： Jiang, SD Wang, Q Sun, SH Harbin Inst Technol Dept Automat Test & Control Harbin 150001 Peoples R China

ISBN: (纸本)0819442798

As an efficient technique for data compression, vector quantization (VQ) has been successfully used for various applications involving VQ-based encoding and VQ-based recognition. The response time of encoding and recognition is a very important factor to be considered for real-time applications. The codeword search problem(i.e., the encoding problem) in VQ is to assign one codeword to the input vector in which the distortion between this codeword and the test vector is the smallest among all codewords. The encoding process is a computationally intensive procedure, This limits the applicability of VQ in practical considerations. Many fast algorithms using the squared Euclidean distortion measure have been proposed for reducing the computational complexity of the full search encoding. The threshold decomposition technique is an important technique for stack filter. By decomposing a vector into binary vectors based on the threshold decomposition technique of stack filter, a new distortion measure based on the decomposed binary vectors can be derived. This distortion measure needs no multiplication operations but some XOR operations and a counter. This distortion measure is suitable for VLSI implementation. Experiments were carried out to test the performance of the proposed encoding algorithm and the conventional full-search encoding algorithm using the squared Euclidean Distortion measure. From the experimental results, we see that the proposed algorithm is faster than the conventional full-search encoding algorithm. Especially, the encoding time will be much shorter than the conventional full-search encoding algorithm and the encoding structure will be much simpler if we use the hardware to encode the image. The PSNR of the proposed algorithm is only a little worse than that of the conventional algorithm and the new encoding algorithm is also faster than the conventional full-search encoding algorithm by software.

关键词： image processing image encoding image compression vector quantization distortion measure squared Euclidean distortion measure full search stack filter threshold decomposition hardware implementation

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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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