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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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Biomedical image Integrity Check for Telemedicine Applications by Hash Embedding & Wavelet compression

Biomedical Image Integrity Check for Telemedicine Applicatio...

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International Conference on Networks and Advances in Computational technologies (NetACT)

作者： Baby, Mina K. Madhu, Aswathy Aneesh, R. P. MCET ECE Dept Pathanamthitta Kerala India IHRD Pathanamthitta Kerala India

ISBN: (纸本)9781509065905

With the advent of the multimedia & information technology, the medical images play a significant role in the field of Teleconsulting, Telediagnosis & Telesurgery, where an enormous amount of medical data needs to be securely transferred over the public network, especially, in the field of Remote Telesurgery, where the surgeons and the patient are separated by miles of distances. For the network transferred image, the integrity and confidentiality is a major issue, as the tampering of the medical images, results in serious issues in diagnosis and also treatment. This paper focuses on enhancing the integrity of the network transferred biomedical data along with its lossless compression. The segmentation of the Region of Interest (ROI) of the host biomedical image and the computation of the hash digest of the ROI by the Message Digest5 (MD5) algorithm would perform the partial encryption. It is followed by the Steganography of the biomedical image with the concatenated hash digest, ROI coordinates & patient data. Finally, a Wavelet based lossless compression is performed, for the sake of bandwidth & storage space, during transmission. The extraction phase verifies the integrity of the received data by comparing the hash digests. The performance of the proposed system was evaluated by various biomedical images with its PSNR and MSE.

关键词： Data Integrity Message Digest5 Remote Telesurgery Steganography Wavelet Transform

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Joint Watermarking\encryption image for Safe Transmission: Application on Medical Imaging

Joint Watermarking\Encryption Image for Safe Transmission: A...

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Global Summit on Computer and Information Technology (GSCIT)

作者： Ajili, Sondes Hajjaji, Mohamed Ali Bouallegue, Belgacem Mtibaa, Abdellatif Univ Monastir Elect & Microelect Lab Monastir Tunisia Natl Engn Sch Monastir Monastir Tunisia

ISBN: (纸本)9781479956272

this work presents a new approach of a joint Watermarking! encryption algorithm applied in medical domain such as telemedicine, hence the need to keep the visual aspect of medical images and other conservation of the various substituted data. For hiding information, the proposed method uses the Discrete Cosine Transform (DCT) space. For more robustness, the Advanced encryption Standard (AES) encryption algorithm is proposed. To control identification and eventually the correction (if possible) of the data inserted, it should be noted that we used the serial turbocode to recover the data inserted and after application of several attacks. For evaluation, the IRM images are used. Our proposed method is tested against several attacks, such as the compression, noise, filtering and geometric transformations attacks.

关键词： component discrete cosine transform Medical imag AES SHA-1 series turbocode

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A Privacy-Preserving image Retrieval Scheme with a Mixture of Plain and EtC images 4

A Privacy-Preserving Image Retrieval Scheme with a Mixture o...

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4th IEEE Global Conference on Life Sciences and technologies, LifeTech 2022

作者： Iida, Kenta Kiya, Hitoshi Tokyo Metropolitan University Tokyo Japan

ISBN: (纸本)9781665419048

In this paper, we propose a novel content-based image-retrieval scheme that allows us to use a mixture of plain images and compressible encrypted ones called "encryption-then-compression (EtC) images."In the proposed scheme, extended SIMPLE descriptors are extracted from EtC images as well as from plain ones, so the mixed use of plain and encrypted images is available for image retrieval. In an experiment, the proposed scheme was demonstrated to have almost the same retrieval performance as that for plain images, even with a mixture of plain and encrypted images. © 2022 IEEE.

关键词： image compression

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Coding and transmission of subband coded images in the Internet

Coding and transmission of subband coded images in the Inter...

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Conference on image compression and encryption technologies

作者： Wah, BW Su, X Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA

ISBN: (纸本)0819442798

Subband-coded images can be transmitted in the Internet using either the TCP or the UDP protocol. Delivery by TCP gives superior decoding quality but with very long delays when the network is unreliable, whereas delivery by UDP has negligible delays but with degraded quality when packets are lost. Although images are delivered currently over the Internet by TCP, we study in this paper the use of UDP to deliver multi-description reconstruction-based subband-coded images. First, in order to facilitate recovery from UDP packet losses, we propose a joint sender-receiver approach for designing optimized reconstruction-based subband transform (ORB-ST) in multi-description coding (MDC). Second, we carefully evaluate the delay-quality trade-offs between the TCP delivery of SDC images and the UDP and combined TCP/UDP delivery of MDC images. Experimental results show that our proposed ORB-ST performs well in real Internet tests, and UDP and combined TCP/UDP delivery of MDC images provide a range of attractive alternatives to TCP delivery.

关键词： single-description coding (SDC) multi-description coding (MDC) real-time multimedia in the Internet reconstruction-based subband image coding TCP UDP World-Wide Web

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Computational complexity of object-based image compression

Computational complexity of object-based image compression

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Mathematics of Data/image Coding, compression, and encryption VIII, with Applications

作者： Schmalz, Mark S. Ritter, Gerhard X. Center for Computer Vision and Visualization University of Florida Gainesville FL 32611

image compression via transform coding applied to small rectangular regions or encoding blocks appears to be approaching asymptotic rate-distortion performance. However, an emerging compression technology, called object-based compression (OBC) promises significantly improved performance via compression ratios ranging from 200:1 to as high as 2,500:1. OBC involves segmentation of image regions, followed by efficient encoding of each region's content and boundary. During decompression, such regions can be approximated by objects from a codebook, yielding a reconstructed image that is semantically equivalent to the corresponding source image, but has pixel- and featural-level differences. Semantic equivalence between the source and decompressed image facilitates fast decompression through efficient substitutions, albeit at the cost of codebook search in the compression step. Given small codebooks, OBC holds promise for information-push technologies where approximate context is sufficient, for example, transmission of surveillance images that provide the gist of a scene. However, OBC is not necessarily useful for applications requiring high accuracy, such as medical image processing, because substitution of source content can be inaccurate at small spatial scales. The cost of segmentation is a significant disadvantage in current OBC implementations. Several innovative techniques have been developed for region segmentation, as discussed in a previous paper [4]. Additionally, tradeoffs between representational fidelity, computational cost, and storage requirement occur, as with the vast majority of lossy compression algorithms. This paper analyzes the computational (time) and storage (space) complexities of several recent OBC algorithms applied to single-frame imagery. A time complexity model is proposed, which can be associated theoretically with a space complexity model that we have previously published [2]. The result, when combined with measurements of representationa

关键词： image compression

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Autosophy information theory provides lossless data and video compression based on the data content

Autosophy information theory provides lossless data and vide...

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Conference on Digital compression technologies and Systems for Video Communications

作者： Holtz, K Holtz, E Holtz, D OMNI DIMENS NETWORKS SAN FRANCISCOCA 94109

ISBN: (纸本)0819423564

A new autosophy information theory provides an alternative to the classical Shannon information theory. Using the new theory in communication networks provides both a high degree of lossless compression and virtually unbreakable encryption codes for network security. The bandwidth in a conventional Shannon communication is determined only by the data volume and the hardware parameters, such as image size; resolution; or frame rates in television. The data content, or what is shown on the screen, is irrelevant. In contrast, the bandwidth in autosophy communication is determined only by data content, such as novelty and movement in television images. It is the data volume and hardware parameters that become irrelevant. Basically, the new communication methods use prior 'knowledge' of the data, stored in a library, to encode subsequent transmissions. The more 'knowledge' stored in the libraries, the higher the potential compression ratio. 'Information' is redefined as that which is not already known by the receiver. Everything already known is redundant and need not be re-transmitted. In a perfect communication each transmission code, called a 'tip,' creates a new 'engram' of knowledge in the library in which each tip transmission can represent any amount of data. Autosophy theories provide six separate learning modes, or omni dimensional networks, all of which can be used for data compression. The new information theory reveals the theoretical flaws of other data compression methods, including: the Huffman; Ziv Lempel; LZW codes and commercial compression codes such as V.42bis and MPEG-2.

关键词： Data communications Receivers Data compression Televisions Binary data image compression Information theory Computer programming image transmission Transmitters

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Robust image Obfuscation for Privacy Protection in Web 2.0 Applications

Robust Image Obfuscation for Privacy Protection in Web 2.0 A...

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Conference on Media Watermarking, Security, and Forensics

作者： Poller, Andreas Steinebach, Martin Liu, Huajian Fraunhofer Inst Secure Informat Technol Darmstadt Germany

ISBN: (纸本)9780819489500

We present two approaches to robust image obfuscation based on permutation of image regions and channel intensity modulation. The proposed concept of robust image obfuscation is a step towards end-to-end security in Web 2.0 applications. It helps to protect the privacy of the users against threats caused by internet bots and web applications that extract biometric and other features from images for data-linkage purposes. The approaches described in this paper consider that images uploaded to Web 2.0 applications pass several transformations, such as scaling and JPEG compression, until the receiver downloads them. In contrast to existing approaches, our focus is on usability, therefore the primary goal is not a maximum of security but an acceptable trade-off between security and resulting image quality.

关键词： image compression image quality image encryption Web 2.0 technologies Social networks Computer security Network security Biometrics image processing Modulation

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Dynamic segment designate lossless coding for sparse binary patterns

Dynamic segment designate lossless coding for sparse binary ...

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Conference on image compression and encryption technologies

作者： Tong, XF Zhang, TX 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 dynamic segment designate lossless coding (DSDC for short) method for sparse binary patterns is proposed in this paper. First of all, in order to reduce the correlation of the binary image, we carry out peculiar difference in row and column on the white/black (0/1) binary image successively, the resultant image is also binary, but commonly it is sparser than before, that is to say, the proportion of non-zero element will decrease. Afterwards we join rows of the simpler image by linking their heads and tails correspondingly into a long one-dimensional array. Scan the one-dimensional array from left to right step by step and divide the array into a number of non-all-zero segments (I and 0 included) of fixed length and all-zero segments (only 0 included) of varying length according to a certain rule. In the algorithm, we always encode a subsection as often as we divide it from the one-dimensional array. After that, perform distinct coding method for the two kinds of segments of non-all-zero segments and all-zero segments respectively. For non-all-zero segment, we encode each non-all-zero element with its segment-relative address code and skip over the zero elements in each segment. As for all-zero segment, we designate the length of the all-zero segment with bin tree code, which represents the number of contiguous zero element contained in it. The Decoding method is the back-ward process of coding. Read out the bit stream from the code file and reconstruct the segment by using the corresponding method every time. Finally, if differential operation is carried out at the course of encoding, perform reverse difference on the current binary image and we will reconstruct the original binary image. The whole process is lossless. The encoding process and the decoding process are nearly balance in computational time or in computational complexity. In this paper, the eight binary images CCITT 1-8 have been tested by some methods mentioned in this paper. It has been demonstrat

关键词： image compression binary image difference dynamic segment segment-relative address code bin tree

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Improving LZW compression of Unicode Arabic Text Using Multi-Level Encoding and a Variable-Length Phrase Code

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IEEE ACCESS 2023年 11卷 51915-51929页

作者： Abu Jrai, Enas Alsharari, Shoroq Almazaydeh, Laiali Elleithy, Khaled Abu-Hamdan, Osama Al Balqa Appl Univ Maan Univ Coll Dept Basic Sci Salt 19117 Jordan Al Hussein Bin Talal Univ Fac Informat Technol Dept Software Engn Maan Jordan Univ Bridgeport Dept Comp Sci & Engn Bridgeport CT 06604 USA Univ Nevada Sch Comp & Informat Sci Reno NV 89557 USA

This paper introduces a novel approach to enhance the efficiency of compressing Arabic Unicode text using the Lempel-Ziv-Welch (LZW) technique. This method includes two stages: transformation and compression. During the first phase, a multi-level scheme that works according to the level of words, syllables, and characters replaces multi-byte symbols with single-byte symbols, resulting in a binary output of 51%-75% smaller than the actual size and effective for compression. In the second phase: the outputs of the previous phase are received as inputs to the adaptive LZW technique, attached to a value representing the length of the initial phrase (minimum code length). This value is automatically determined according to the size of the data source to enhance the performance of LZW. The original data size is included in the compressed file to be used during the decompression process to detect the length of the initial phrase. The compression ratio achieved by the proposed method was compared to that of the traditional LZW technology that uses multi-byte encoded characters and a fixed initial length phrase, as well as two recent technologies, DEFLATE and Gzip. Experimental results indicate that our method achieves an average compression rate of about 71% and outperforms other methods for all forms of Arabic texts, with improved LZW able to compress an additional 7% or more or less of the files it compresses. Variable-length dictionary LZW continuously displays a significant difference in compression ratios for small files compared to modern methods, whether it uses a variable-width- encoding scheme only or with multi-level encoding as a precompression step. Multi-level schema can be used as a preprocess to other compression techniques, especially those that work efficiently with binary data. Also, the original data volume can be used as a private key within data security and encryption applications.

关键词： Dictionaries image coding Encoding Codes Symbols Data compression Surveys Adaptive initial dictionary Lempel-Ziv-Welch (LZW) multi-dictionaries multi-level mapping private key unicode Arabic text variable-length phrase code

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