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作者： T. Uehara University of Wollongong

学位级别：博士

Advanced digital technologies have made multimedia data widely available. As multimedia applications become common in practice, security of multimedia data has become main concern. Digital images are widely used in various applications, that include military, legal and medical systems and these applications need to control access to images and provide the means to verify integrity of images. image encryption algorithms protect data against unauthorized access. In almost all cases image data is compressed before it is stored or transmitted because of the enormity of multimedia data and their high level of redundancy. Compressing plaintext before applying the encryption algorithm effectively increases security of the overall system. However direct application of encryption algorithms to image data i) requires high computational power and ii) introduces delay in real-time communication. If a data compression algorithm can be made to also provide security, less processing overhead could be expected as a single algorithm achieves two goals. image authentication provides the means to verify the genuineness of images. Authentication codes provide a method of ensuring integrity of data. The challenge in image authentication is that in many cases images need to be compressed and so the authentication algorithms need to be compression tolerant. Cryptographic authentication systems are sensitive to bit changes and so are not suitable for image authentication. In this thesis, we study existing image encryption and authentication systems and demonstrate various attacks against these systems. We propose a JPEG encryption system that encrypts only part of the data, and a JPEG2000 encryption system that uses a simple operation, i.e. permutation, and show methods to minimize the computation cost for encryption. We also propose an image authentication system that remains tolerant to changes due to JPEG lossy compression.

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Efficient compression of encrypted grayscale images

Efficient compression of encrypted grayscale images

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2011 - International Conference on Signal Processing, Communication, Computing and Networking technologies, ICSCCN-2011

作者： Monica, D.N. Shunmuganathan, K.L. Suresh, L. Padma Department of EEE Noorul Islam University Kumaracoil Tamilnadu India Department of CSE RMK Engineering college TamilNadu India

ISBN: (纸本)9781612846538

Consider an image that has been encrypted uncompressed. The data compression algorithms are ineffective because the encryption masks the source. To reduce the size, distributed source coding technique is used without requiring the data be compressed prior to encryption. Under some reasonable condition, neither the security nor the compression efficiency will be sacrificed by performing compression in the encrypted domain. The design and analysis of a practical lossless image codec, where the image data undergoes stream-cipher based encryption before compression. An efficient way to compress encrypted images is through Resolution-progressive compression (RPC), where RPC can be used for both interframe and intraframe correlation. Lossless compression of encrypted sources can be achieved through Slepian-Wolf Coding. This work proposes a resolution progressive compression scheme which compresses an encrypted image progressively in resolution, such that the decoder can observe a low-resolution version of the image as well as video, study local statistics based on it, and use the statistics to decode the next resolution level. The system is implemented by using Mat lab. © 2011 IEEE.

关键词： Cryptography

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Classification-Based Fractal image compression with Efficient Domain Pool Design

Classification-Based Fractal Image Compression with Efficien...

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Congress on Smart Computing technologies, CSCT 2022

作者： Balpande, Rupali Wanjari, Mayur Jawaharlal Nehru Medical College Datta Meghe Institute of Medical Sciences Wardha India Department of Electronics Engineering Yeshwantrao Chavan College of Engineering Maharashtra Nagpur India

ISBN: (纸本)9789819924677

compression of fractal image is a newer method that uses a contractive transform to represent an image on the space of images, with the correct point being a near approximation to the original image. Reducing the amount of processing time needed to compress image data is the primary goal of the fractal image compression algorithm. High computational complexity is a drawback of fractal image compression, which offers good reconstruction quality, a high compression ratio and a bonus benefit of quick decompression. This study, a quick fractal encryption method centred on the correlation coefficient characteristic is offered. Matched range-field block is changed to the closest neighbour search in the feature space by applying the concept of correlation coefficient feature, which reduces the computational cost of fractal encryption. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fractals

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Technique of quasi-lossless compression of multiple spectrum remote sensing images based on image restoration

Technique of quasi-lossless compression of multiple spectrum...

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Conference on image compression and encryption technologies

作者： Li, QQ Hu, QW Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)0819442798

Bit compression is processed to increase the compression ratio and remove correlation based on 4-neighboring pixels decomposition and integer orthogonal wavelet transformation is done combining the contour feature of multiple spectrum images. An image restoration based on the theory of modulation transfer function (MTF) is given to improve the image quality, The test of SPOT remote sensing images shows that the compression ratio is over 8,the average Fidelity reached 0.99 and peak value signal-noise ratio (PSNR) is over 42.

关键词： quasi-lossless image restoration edge curve line spread function 4-neighboring pixels decomposition

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A new fast license plate location method

A new fast license plate location method

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Conference on image compression and encryption technologies

作者： Li, W Huang, XH Wang, M Chen, X Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China

ISBN: (纸本)0819442798

This paper presents a new fast license plate location method based on gray-scale image. According to the vertical edge features of the characters on Chinese license plate, it applies the threshold iteration to realize license plate location in complicated background. The algorithm satisfies the requirements of a real-time system and has a good robustness. The precision of segmentation has been closed to 98%.

关键词： license plate location threshold iteration binary image vertical edge features space information gray-scale information feature extraction

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compression AND encryption FOR SATELLITE imageS: A COMPARISON BETWEEN SQUEEZE CIPHER AND SPATIAL SIMULATIONS

COMPRESSION AND ENCRYPTION FOR SATELLITE IMAGES: A COMPARISO...

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作者： GETACHEW MEHABIE MULUALEM Twente University

学位级别：硕士

For solving network bandwidth, and security problems, image compression, and encryption technologies need to be combined. This paper presents two techniques for real-time compression and encryption aimed at satellite images that are performed simultaneously. The paper analyzes a modification of the LZW dictionary-based compression algorithm that is adapted to provide security, this algorithm known as the squeeze cipher algorithm is implemented for satellite images. The proposed method can protect and compress satellite images while keeping the contents of the image intact. Spatial simulations are investigated as an alternative approach to the existing image compression algorithms. Spatial simulation models were established to predict the DN values of satellite images from neighbor pixels. To compare the simulated and actual values several statistical analysis tests such as variogram analysis, RMSE and MSE tests are performed between the restored and the original image. Advanced encryption standard (AES) is then added as a post-processing on top of the proposed compression algorithm to provide security for communications. The performances of image compression and encryption methods employed in this paper are compared on the basis of the compression ratio, elapsed time and differences between the input image and restored image.

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A review of research on medical image confidentiality related technology coherent taxonomy, motivations, open challenges and recommendations

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MULTIMEDIA TOOLS AND APPLICATIONS 2023年第14期82卷 21867-21906页

作者： Zhang, Bin Rahmatullah, Bahbibi Wang, Shir Li Zaidan, A. A. Zaidan, B. B. Liu, Penghui Baoji Univ Arts & Sci Sch Comp Sci Baoji 721016 Shaanxi Peoples R China Sultan Idris Educ Univ UPSI Fac Arts Comp & Creat Ind Comp Dept Tanjong Malim 35900 Perak Malaysia

With the modernization of biomedical image equipment and image processing technology, the amount of medical image data increases rapidly. These medical images need to be transmitted over a public network between doctors or hospitals to provide telemedicine services and sometimes need to be uploaded to a telemedicine data center or health cloud due to limited local computing and storage resources. Medical images involve confidential and sensitive information of patients, and the confidentiality technology to protect patient privacy is becoming more and more important. These problems have been studied by many scholars, but these studies are largely limited and scattered. To the authors' knowledge, there is no systematic literature review related to medical image confidentiality technology. To provide valuable insights into the technical environment and to support researchers, the available options and gaps in this research area must be understood. Therefore, in this study, the recent 5 years' research results in the field of medical image security are reviewed to map the field of study into a coherent taxonomy. We use five major academic databases which are (1) Medline, (2) IEEE Xplore, (3) WoS, (4) Scopus, and (5) ScienceDirect, and every literature related to (1) medical images, and (2) encryption were searched with a focus in these databases. These databases contain literature about medical image confidentiality technology. According to the classification scheme, the final data set consists of 123 pieces of literature, and are divided into five categories. The first category, which also occupies the most proportion, focuses on medical image confidentiality algorithms, and most of them adopt chaotic mapping correlative technology The second category considers multiple security requirements while studying medical image confidentiality. The third category combines medical image encryption and image compression technologies. The fourth category focuses on the hardware

关键词： Medical image Digital imaging and Communications in Medicine (DICOM) Confidentiality encryption Security

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Data compression of stereoscopic image pairs

Data compression of stereoscopic image pairs

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Conference on image compression and encryption technologies

作者： Xu, CM Zhang, ZY Shanghai Univ Sch Commun & Informat Engn Shanghai 200041 Peoples R China

ISBN: (纸本)0819442798

An emerging feature of multimedia and telepresence systems is stereo imagery. Stereo images provide an enhanced sense of presence, and have been found to be operationally useful in tasks requiring remote manipulation or judgment of spatial relationships. A conventional stereo system with a single left-fight pair needs twice the raw data as a monoscopic imaging system. As a result there has been increasing attention given to image compression methods specialized to stereo pairs. In this paper, the mixed-resolution coding, is a psychophysically justified technique that exploits known facts about human stereovision to code stereopairs in a subjectively acceptable manner, is used to the stereo image compression. By combining both the mixed-resolution coding and SPT(subspace projection technique)-based disparity-compensation techniques,the left image can be compressed by a wavelet-transform-based scheme independent of the fight image. By performing low-resolution SPT-based disparity-compensation technique, the disparity is able to predict the low-resolution fight image from the left image at a lower resolution using the disparity relation, The low-resolution images are obtained using the wavelet decomposition. At the decoder, the low-resolution fight subimage is estimated using the disparity from the low-resolution left subimage. A full-sized resolution is obtained by upsampling with a factor of 4 and resonstructing with the synthesis low pass filter. We provide experimental results,that show that our proposed scheme achieves a PSNR gain of about 0.98 dB as compared to a block-based disparity compensation coding scheme,encoded at the same bit rate.

关键词： stereo image compression subspace projection technique discrete wavelet transform residual image

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Complexity Reduction in DAT-Based image Processing

Complexity Reduction in DAT-Based Image Processing

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International Scientific and Technical Conference on Integrated Computer technologies in Mechanical Engineering - Synergetic Engineering (ICTM)

作者： Makarichev, Viktor Lukin, Vladimir Brysina, Iryna Natl Aerosp Univ KhAI Chkalov St 17 UA-61070 Kharkiv Ukraine

ISBN: (纸本)9783031614149;9783031614156

The atomic functions-based image processing system (AFIPS) is based on discrete atomic transform (DAT). It provides a combination of image encryption and compression features with a machine learning-oriented data format. Taking into account the current data processing and analysis trends, applying AFIPS is promising. In this paper, a problem of its complexity reduction is considered. The new coding scheme, which ensures a significant decrease in the number of arithmetic operations, is proposed, and its efficiency exploration is given in terms of different indicators. In particular, it is shown that the proposed modification of AFIPS provides a higher compression ratio and, hence, greater memory savings when applying this algorithm with three modes of the DAT procedure: classic, block-splitting, and chroma-subsampling. Also, the suggested improvement reduces the time complexity that is illustrated by processing a satellite image dataset. In addition, the practical aspects of the further applications, including UAV image processing and analysis, are discussed.

关键词： Discrete Atomic Transform Lossy image compression Data Coding image encryption

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Research on trademark image retrieval

Research on trademark image retrieval

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Conference on image compression and encryption technologies

作者： Guo, L Yang, JY Sun, XH Nanjing Univ Sci & Technol Dept Comp Sci Nanjing Peoples R China

ISBN: (纸本)0819442798

The local features are as important as global features for content-based trademark image retrieval. This paper gives a trademark image retrieval method based on the features of sub-images together with global image information. We extract the sub-images for each candidate, and take the image for the sub-image of itself, and then use the features of sub-images for retrieval. We have tested our method on an image database containing 3000 binary trademark images and use PVR-component as the evaluation measure, experiments show that using local information together with the global information, the retrieval performance of our method is better than that of retrieval method based only on global features, and the retrieval result can fit the people's visual feelings well.

关键词： trademark image retrieval shape similarity sub-image extraction multiple features combination

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