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1st International Conference on Advanced technologies for Signal and image Processing (ATSIP)

作者： Hamdi, Mimoun Hermassi, Houcemeddine Rhouma, Rhouma Belghith, Safya Ecole Natl Ingeenieurs Tunis Syscom Lab Tunis Tunisia

ISBN: (纸本)9781479948888

This paper presents a new secure variant of ADPCM encoders that are adopted by the CCITT as Adaptive Differential Pulse Code Modulation. This version provides encryption and decryption of voice simultaneously with operations ADPCM encoding and decoding. The evaluation of the scheme showed better performance in terms of speed and security.

关键词： Speech coding chaotic encryption encryption-compression

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Blended Vector Matrix On Different Channels Of image encryption With Multi-Level Distinct Frequency Based Chaotic Approach To Prevent Cyber Crimes By Using Affine Transformation 2

Blended Vector Matrix On Different Channels Of Image Encrypt...

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International Conference on Inventive Communication and Computational technologies (ICICCT)

作者： Mathur, Harsh Veenadhari, S. AISECT Univ Bhopal India

ISBN: (纸本)9781538619742

Security attacks through Internet has proliferated in recent years. Henceforth, information security is a challenge of very serious global concern of the present time. The protection of image data from unauthorized access is very essential encryption methods are exceptionally valuable tools to secure secret data. In this work a Effective secret communication using image encryption based on affine transformation has been proposed The multimedia encryption method which has partial encryption capability, very slight bit-rate overhead acceptable security level and also which is robust to the lossy compression. Embracing diverse cryptographic algorithms in modern digital communication frameworks utilizing an assortment of techniques ensures confidentiality. These communications were military by nature, however today with the expansion of individual communication frameworks;communication secrecy has value in military as well as civilian communication scenarios. Digital encryption is the main element to ensure the secure transmission of a message. To overcome information security issue presents an effective secret communication in preventing cyber crimes using affine transformation in this work.

关键词： Cryptography Affine Transformation image encryption Stegnography Data security secure communication

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Selective Area encryption using Machine Learning Technique

Selective Area Encryption using Machine Learning Technique

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IEEE International Conference on Innovations in Power and Advanced Computing technologies

作者： Kelur, Soumya Kumar, Ranjan H. S. Raju, K. NMAMIT Dept CS&E Karkala Karnataka India

ISBN: (纸本)9781538681909

Detection of object and recognition of objects in real world computing environment is one of the challenging tasks in computer vision. To solve this task there are many challenges in designing algorithm, we have to introduce different and innovative techniques to detect objects in natural environments. image security is of high importance in various applications including military, medical and many others. Security is one of the most challenging aspects in the internet and network applications. Encrypting entire image is very slow. Selective encryption is a scheme which intends to save computational power, network resources, and execution time. To encrypt object selectively object detection techniques are used. This technique is one of the most promising solutions to increase the speed of encryption as compared to the traditional encryption techniques. Selective encryption is helpful for the multimedia contents like image, video and audio. The compression ratio achieved is very high, since we store only the residues of extracted pixel of an image. So this paper discussed about Selective encryption with object detection technique.

关键词： Object detection technique image processing computer vision machine learning technique Harr - cascade technique

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The design of keyed hash function based on CNN-MD structure

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CHAOS SOLITONS & FRACTALS 2021年 152卷

作者： Wang, Yu Chen, Liquan Wang, Xingyuan Wu, Ge Yu, Kunliang Lu, Tianyu Southeast Univ Sch Cyber Sci & Engn Nanjing 210000 Peoples R China Purple Mt Labs Network & Commun Secur Nanjing 211111 Peoples R China Dalian Maritime Univ Sch Informat Sci & Technol Dalian 116026 Peoples R China

In this paper, we propose a new chaotic neural network called the Merkle-Damgaard (CNN-MD) iterative structure, which we designed from the perspective of resisting attacks, such as length extension, second original image, Joux multiple collision, and intermediate encounter attacks. A new chaotic hash function based on the CNN-MD is presented. First, CNN is used as the compression function of CNN-MD, which ensures both the unidirectionality of data compression and the sensitivity of the hash value. Furthermore, the multi-input single-output construction of the CNN can achieve highly efficient data compression. In addition, in the process of group encryption of data, we use the value padding of coupled lattice mapping to improve the alignment of the plaintext of the MD algorithm. This new alignment can enhance the hash function's collision resistance and the CNN-MD sensitivity. Experimental and theoretical analyses show that our proposed hashing algorithm can resist attacks, such as second original image, brute force, and multiple collision attacks, better than MD5, SHA-1, and SHA-2 algorithms. In terms of speed, our proposed hashing algorithm can successfully handle existing commercial scenarios better than MD5, SHA-1, SHA3, and other methods. Therefore, the hash algorithm proposed in this study can be applied to existing e-commerce scenarios. (c) 2021 Elsevier Ltd. All rights reserved.

关键词： Chaotic neural network One Way hash function CNN-MD Chaos encryption

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Region based representations of image and motion estimation

Region based representations of image and motion estimation

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Conference on image compression and encryption technologies

作者： Du, XX Yang, X Shi, PF Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit Shanghai 200030 Peoples R China

ISBN: (纸本)0819442798

In this paper, an image representation method based on arbitrary shaped regions, and motion estimation of the image sequence according to this representation of the image is proposed. In order to avoid over-segmentation. the initial frame in the image sequence is smoothed while edge of the image is preserved. The smoothing algorithm is the modification version of Alvarez's method. Then, the smoothed frame is segmented by the watershed method. According to the label image, the image is stored in the form of region adjacency graph. To further solve the problem of the over-segmentation, the merging criterions based on average region intensity and edge strength and region size are given. The affine transformation is used as motion model for each region, and the nonlinear least square method is used for the optimization. Compared with the method based on pixel, the result shows that the motion vectors produced by our algorithm are more consistent and the PSNR is improved.

关键词： motion estimation watershed image segmentation image smoothing

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A novel coding method based on triangular fuzzy vector quantization for noised image

A novel coding method based on triangular fuzzy vector quant...

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Conference on image compression and encryption technologies

作者： Li, YB Jiang, T Lou, Z Harbin Engn Univ 808 HEU Dept Elect Engn Harbin 150001 Peoples R China

ISBN: (纸本)0819442798

In this paper a novel coding method which based on fuzzy vector quantization for polluted image by Gaussian white-noise is presented. By restraining the high frequency component of wavelet image, the noise is significantly removed. Then it could be coded by fuzzy vector quantization technique. The simulation result shows that this method can not only achieve high compression ratio but also remove noise dramatically.

关键词： wavelet transformation fuzzy vector quantization image coding

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Digital watermarking technique based on integer Harr transforms and visual properties

Digital watermarking technique based on integer Harr transfo...

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Conference on image compression and encryption technologies

作者： Tao, HJ Liu, J Tian, JW Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

ISBN: (纸本)0819442798

In this paper. a new method is proposed to hide watermark image based on the discrete integer Haar wavelet transform. This method utilizes excellent properties of the discrete integer Haar wavelet transform and some characteristies of human visual system(HSV). The watermark are processed the discrete Haar wavelet transforms as a grey-value image, and are decomposed and synthesized the image of the watermark and hiding. The algorithm of the discrete integer Haar wavelet is simple and viable. Algorithmic operation is also small The speed of algorithmic operation is quick. The algorithm is of parallel structure. The experimental results using this algorithm shows that the method of this paper implement that be added watermark and be hidden processing to image. This method can improve robustness of watermarking.

关键词： digital watemark the discrete integer Haar wavelet tranform HVS model

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An Implicit Approach for Visual Data: compression encryption via Singular Value Decomposition, Multiple Chaos and Beta Function 9

An Implicit Approach for Visual Data: Compression Encryption...

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9th IEEE International Conference on Reliability, Infocom technologies and Optimization (Trends and Future Directions), ICRITO 2021

作者： Salunke, Sharad Venkatadri, M. Hashmi, Md. Farukh Ahuja, Bharti Amity University Madhya Pradesh Department of ECE Gwalior India National Institute of Technology Warangal Department of ECE Warangal India National Institute of Technology Raipur Department of IT Raipur India

ISBN: (纸本)9781665417037

This paper proposes a digital image compression-encryption scheme based on the theory of singular value decomposition, multiple chaos and Beta function, which uses SVD to compress the digital image and utilizes three way protections for encryption viz. logistic and Arnold map along with the beta function. The algorithm has three advantages: First, the compression scheme gives the freedom to a user so that one can select the desired compression level according to the application with the help of singular value. Second, it includes a confusion mechanism wherein the pixel positions of image are scrambled employing Cat Map. The pixel location is shuffled, resulting in a cipher text image that is safe for communication. Third the key is generated with the help of logistic map which is nonlinear and chaotic in nature therefore highly secured. Fourth the beta function used for encryption is symmetric in nature which means the order of its parameters does not change the outcome of the operation, meaning faithful reconstruction of an image. Thus, the algorithm is highly secured and also saving the storage space as well. The experimental results show that the algorithm has the advantages of faithful reconstruction with reasonable PSNR on different singular values. © 2021 IEEE.

关键词： Singular value decomposition

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A proposal for multispectral image compression methods

A proposal for multispectral image compression methods

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Conference on image compression and encryption technologies

作者： Murni, A Isa, SM Samopa, F Univ Indonesia Fac Comp Sci Jakarta 10002 Indonesia

ISBN: (纸本)0819442798

This paper has proposed two image compression and decompression schemes for multispectral images. Two issues were considered in the proposed methods. The first issue is the possibility of applying the compression process directly to a set of multispectral images, where the standard JPEG should be applied to each individual image. Considering this issue, a compression and decompression method is proposed based on a hybrid of lower bit suppresion and Karhunen-Loeve transform and named as KLT Hybrid. The second issue is the possibility of obtaining a general codebook for a bulky of typical data such as a set of hyperspectral images. Considering this issue, another compression and decompression method is proposed based on vector quantization (VQ) where the general codebook is obtained by a proposed fair-share amount method. Four performance indicators were used to evaluate the results. The indicators include compression ratio, root mean square error, maximum absolute error, and signal to noise ratio. The experimental results have shown good performance indication of both methods.

关键词： multispectral hyperspectral spectrometer image compression and decompression JPEG transform coding vector quantization

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An efficient wavelet based de-blocking algorithm for highly compressed images

An efficient wavelet based de-blocking algorithm for highly ...

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Conference on image compression and encryption technologies

作者： Wu, SH Yan, H Tan, Z City Univ Hong Kong Dept Elect Engn Kowloon Hong Kong Peoples R China

ISBN: (纸本)0819442798

In this paper, a novel post-processing method is proposed in wavelet domain for the suppression of blocking artifacts in compressed images. The novelty of new method is that we can obtain soft-threshold values based on the difference between the wavelet transform coefficients of image blocks and the coefficients of the entire image and threshold high frequency wavelet coefficients in different subbands using different values and strategies. The threshold value is made adaptive to different images and characteristics of blocking artifacts. In particular, the new method is robust, fast and works remarkably well for different DCT based compressed images at low bit rate. The method is nonlinear, computationally efficient and spatially adaptive. Another advantage of the new method is that it retains sharp features in the images after it removes artifacts. Experimental results show that the proposed method can achieve a significantly improved visual quality in the images, and also increase PSNR in the output image. The algorithm can be used for real-time post-processing in DCT-based encoders and decoders.

关键词： discrete consine transform (DCT) image compression blocking artifacts wavelet transforms soft thresholding

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