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检索条件"任意字段=Mathematics of Data/Image Coding, Compression, and Encryption VII, with Applications"

共 33 条记录，以下是11-20 订阅

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A cryptanalysis procedure of the data encryption standard

A cryptanalysis procedure of the data encryption standard

引用

mathematics of data/image coding, compression, and encryption viiI, with applications

作者： Silva G., Victor Manuel CIDETEC IPN Avenida Te #950 C.P. 08400 Mexico D.F. Mexico

In this paper an attack strategy on the data encryption Standard (DES) that is different from the existing ones is developed. The attack strategy is based on a theorem proved by the author, called LR theorem. The attack can be done by means of a personal computer, i.e. a Pentium IV based machine. Obviously, more information than a sample of plaintext and ciphertext is required. However, this additional requirement is reduced to a minimum of just 24 bits. The LR theorem uncovers 16 trapdoors of which 2 are of importance. With this knowledge, an attack on Triple-DES can be performed using the aforementioned personal computer. A simple solution to this kind of attack is proposed, preserving the complexity of the Triple-DBS, 2112.

关键词： Cryptography

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On encryption-compression tradeoff of pre/post-filtered images

On encryption-compression tradeoff of pre/post-filtered imag...

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mathematics of data/image coding, compression, and encryption viiI, with applications

作者： Gurijala, Aparna Khayam, Syed A. Radha, Hayder Deller Jr., J.R. Department of Electrical and Computer Engineering 2120 Engineering Building Michigan State University East Lansing MI 48824

Advances in network communications have necessitated secure local-storage and transmission of multimedia content. In particular, military networks need to securely store sensitive imagery which at a later stage may be transmitted over bandwidth-constrained wireless networks. This work investigates compression efficiency of JPEG and JPEG 2000 standards for encrypted images. An encryption technique proposed by Kuo et al. in [4] is employed. The technique scrambles the phase spectrum of an image by addition of the phase of an all-pass pre-filter. The post-filter inverts the encryption process, provided the correct pseudo-random filter coefficients are available at the receiver. Additional benefits of pre/post-filter encryption include the prevention of blocking effects and better robustness to channel noise [4]. Since both JPEG and JPEG 2000 exploit spatial and perceptual redundancies for compression, pre/post-filtered (encrypted) images are susceptible to compression inefficiencies. The PSNR difference between the unencrypted and pre/post-filtered images after decompression is determined for various compression rates. compression efficiency decreases with an increase in compression rate. For JPEG and JPEG 2000 compression rates between 0.5 to 2.5 bpp, the difference in PSNR is negligible. Partial encryption is proposed wherein a subset of image phase coefficients are scrambled. Due to the phase sensitivity of images, even partial scrambling of the phase information results in unintelligible data. The effect of compression on partially encrypted images is observed for various bit-rates. When 25% of image phase coefficients are scrambled, the JPEG and JPEG 2000 compression performance of encrypted images is almost similar to that of unencrypted images for compression rates in the 0.5 to 3.5 bpp range.

关键词： image compression

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Double random phase spread spectrum spread space technique for secure parallel optical multiplexing with individual encryption key

Double random phase spread spectrum spread space technique f...

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mathematics of data/image coding, compression, and encryption viiI, with applications

作者： Hennelly, B.M. Javidi, B. Sheridan, J.T. Department of Electronic and Electrical Engineering Faculty of Engineering and Architecture University College Dublin Belfield Dublin 4 Ireland Department of Electrical and Computer Engineering University of Connecticut Storrs CT 06269-2157

A number of methods have been recently proposed in the literature for the encryption of 2-D information using linear optical systems. In particular the double random phase encoding system has received widespread attention. This system uses two Random Phase Keys (RPK) positioned in the input spatial domain and the spatial frequency domain and if these random phases are described by statistically independent white noises then the encrypted image can be shown to be a white noise. Decryption only requires knowledge of the RPK in the frequency domain. The RPK may be implemented using a Spatial Light Modulators (SLM). In this paper we propose and investigate the use of SLMs for secure optical multiplexing. We show that in this case it is possible to encrypt multiple images in parallel and multiplex them for transmission or storage. The signal energy is effectively spread in the spatial frequency domain. As expected the number of images that can be multiplexed together and recovered without loss is proportional to the ratio of the input image and the SLM resolution. Many more images may be multiplexed with some loss in recovery. Furthermore each individual encryption is more robust than traditional double random phase encoding since decryption requires knowledge of both RPK and a lowpass filter in order to despread the spectrum and decrypt the image. Numerical simulations are presented and discussed.

关键词： Spread spectrum communication

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Fractal based techniques and their applications

Fractal based techniques and their applications

引用

作者： Lai, Cheung-Ming Hong Kong Polytechnic University (Hong Kong)

学位级别：Ph.D.

The aim of this research is to develop efficient algorithms for fractal image coding, which can be applied in digital image compression, image magnification and image denoising. Fractal image coding can provide a highly reconstructed image quality with a high compression ratio, is independent of resolution, and has a fast decoding process. The problem with fractal coding is its high computational complexity in the encoding process. Most of the encoding time is spent finding the best-matched domain block from a large domain pool to represent an input range block with respect to contrast and intensity offset, as well as the isometry transformations. The objectives of this research are to investigate and develop efficient techniques for fractal image coding, fractal-based image magnification and denoising. In this thesis, four efficient fractal image-coding algorithms have been proposed. The first algorithm is based on new feature vectors and the property of zero contrast. The proposed feature vectors can provide a better representation of image blocks, and thus result in a more efficient search of the domain block. The second algorithm is an efficient windowing scheme for fractal image coding based on the local variances method. In our method, windows covering those domain blocks whose variances are higher than that of the range block are considered according to a mathematical model. The exhaustive search algorithm can obtain the optimal result by searching all the blocks within the domain pool, but this process requires a high computational cost, which limits its practical application. A single kick-out condition is proposed which can avoid a large number of range-domain block matches when finding the best-matched domain block. An efficient method for zero contrast prediction is also proposed, which can determine whether the contrast factor for a domain block is zero or not, and compute the corresponding difference between the range block and the transformed domain b

关键词： Hong Kong Polytechnic University -- Dissertations. image compression. image processing -- Digital techniques -- mathematics. Fractals. data encryption (Computer science)

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Proceedings of SPIE: mathematics of data/image coding, compression, and encryption VI, with applications

Proceedings of SPIE: Mathematics of Data/Image Coding, Compr...

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mathematics of data/image coding, compression, and encryption VI, with applications

The proceedings contains 22 papers of SPIE : mathematics of data/image coding, compression, and encryption VI, with applications. The topics discussed include: natural language insensitive short textual string compression;techniques for region coding in object-based image compression;boundary representation techniques for object-based image compression;meitei coding for subband image compression;standards-compatible compression for automated image recognition in sensor networks and surveillance systems and non-MSE data compression for emitter location for radar pulse trains.

关键词： image compression

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mathematics of data/image coding, compression, and encryption Vi, with applications (Proceedings of Spie, 5208)

Mathematics of Data/Image Coding, Compression, and Encryptio...

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2004年

作者： Mark Steven Schmalz

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Combined data encryption and compression using chaos functions

Combined data encryption and compression using chaos functio...

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7th Conference on mathematics of data/image coding, compression, and encryption

作者： Bose, R Pathak, S Indian Inst Technol Dept Elect Engn New Delhi 110016 India

ISBN: (纸本)0819454990

Past research in the field of cryptography has not given much consideration to arithmetic coding as a feasible encryption technique, with studies proving compression-specific arithmetic. coding to be largely unsuitable for encryption. Nevertheless, adaptive modelling, which offers a huge model, variable in structure, and as completely as possible a function of the entire text that has been transmitted since the time the model was initialised, is a suitable candidate for a possible encryption-compression combine. The focus of the work presented in this paper has been to incorporate recent results of chaos theory, proven to be cryptographically secure, into arithmetic coding, to devise a convenient method to make the structure of the model unpredictable and variable in nature, and yet to retain, as far as is possible, statistical harmony, so that compression is possible. A chaos-based adaptive arithmetic coding-encryption technique has been designed, developed and tested and its implementation has been discussed. For typical text files, the proposed encoder gives compression between 67.5% and 70.5%, the zero-order compression suffering by about 6% due to encryption, and is not susceptible to previously carried out attacks on arithmetic coding algorithms.

关键词： symmetric key cryptography variable model arithmetic coding chaos compression encryption

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Autosophy data/image compression and encryption

Autosophy data/image compression and encryption

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7th Conference on mathematics of data/image coding, compression, and encryption

作者： Holtz, K Holtz, E Kalienky, D Autosophy San Francisco CA 94108 USA

ISBN: (纸本)0819454990

Multimedia data may be transmitted or stored either according to the classical Shannon information theory or according to the newer Autosophy information theory. Autosophy algorithms combine very high "lossless" data and image compression with virtually unbreakable "codebook" encryption. Shannon's theory treats all data items as "quantities", which are converted into binary digits (bit), for transmission in meaningless bit streams. Only "lossy" data compression is possible. A new "Autosophy" theory was developed by Klaus Holtz in 1974 to explain the functioning of natural self-assembling structures, such as chemical crystals or living trees. The same processes can also be used for growing self-assembling data structures, which grow like data crystals or data trees in electronic memories. This provides true mathematical learning algorithms, according to a new Autosophy information theory. Information in essence is only that which can be perceived and which is not already known by the receiver. The transmission bit rates are dependent on the data content only. applications already include the V.42bis compression standard in modems, the gif and tif formats for lossless image compression, and Autosophy Internet television. A new 64bit data format could make all future communications compatible and solve the Internet's Quality of Service (QoS) problems.

关键词： autosophy information theory data compression image compression encryption Internet video quality of service (QoS)

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Benchmarking techniques for evaluation of compression transform performance in ATR applications

Benchmarking techniques for evaluation of compression transf...

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7th Conference on mathematics of data/image coding, compression, and encryption

作者： Schmalz, MS Univ Florida Dept Comp & Informat Sci & Engn Gainesville FL 32611 USA

ISBN: (纸本)0819454990

image compression is increasingly employed in applications such as medical imaging, for reducing data storage requirement, and Internet video transmission, to effectively increase channel bandwidth. Similarly, military applications such as automated target recognition (ATR) often employ compression to achieve storage and communication efficiencies, particularly to enhance the effective bandwidth of communication channels whose throughput suffers, for example, from overhead due to error correction/detection or encryption. In the majority of cases, lossy compression is employed due the resultant low bit rates (high compression ratio). However, lossy compression produces artifacts in decompressed imagery that can confound ATR processes applied to such imagery, thereby reducing the probability of detection (Pd) and possibly increasing the rate or number of false alarms (Rfa or Nfa). In this paper, the authors' previous research in performance measurement of compression transforms is extended to include (a) benchmarking algorithms and software tools, (b) a suite of error exemplars that are designed to elicit compression transform behavior in an operationally relevant context, and (c) a posteriori analysis of performance data. The following transforms are applied to a suite of 64 error exemplars: Visual Pattern image coding (VPIC [1]), Vector Quantization with a fast codebook search algorithm (VQ [2,3]), JPEG and a preliminary implementation of JPEG 2000 [4,5], and EBLAST [6-8]. compression ratios range from 2:1 to 200:1, and various noise levels and types are added to the error exemplars to produce a database of 7,680 synthetic test images. Several global and local (e.g., featural) distortion measures are applied to the decompressed test imagery to provide a basis for rate-distortion and rate-performance analysis as a function of noise and compression transform type.

关键词： image compression error measurement automated target recognition

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Matrix frequency analysis and its applications to language classification of textual data for English and Hebrew

Matrix frequency analysis and its applications to language c...

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Conference on mathematics of data/image coding, compression and encryption V, with applications

作者： Uchill, J Assadi, A Univ Wisconsin Dept Comp Sci Madison WI 53706 USA

ISBN: (纸本)0819445606

Consideration of the geometry of spaces of textual images leads to description of ensembles of text classes via representation of such image data using a multi-scale multi-resolution method. A direct approach to statistics of textual image data using 4 by 4 matrices of pixel values in the image of the document is introduced. The mathematical approach to analysis of occurrences of such pieces of a text image is Matrix Frequency Analysis (MFA). It is shown that MFA provides effective information on the classification of files using small sample sizes.

关键词： image analysis

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