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

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

Proceedings of SPIE Mathematics of Data/Image Coding, Compre...

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

The proceedings contain 21 papers. The topics discussed include: a cryptanalysis procedure of the data encryption standard;an adaptive watermarking scheme in the DCT domain;robust video watermarking using additional watermarking techniques;computational complexity of object-based image compression;error measures for object-based image compression;exploiting the distributed source coding paradigm for low-complexity compression of hyperspectral images;fast feature extraction in hyperspectral imagery via lifting wavelet transforms;deformable block motion compensation scheme for aerial video surveillance coding;minimax eigenvector decomposition for data hiding;and selective weighing on wavelet coefficients for blind image watermarking system.

关键词： Imaging systems

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Uniform quantization error for Laplacian sources with applications to JPEG standard

Uniform quantization error for Laplacian sources with applic...

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

作者： Minguillón, J Pujol, J Univ Autonoma Barcelona Bellaterra Spain

ISBN: (纸本)0819429112

In this paper we propose a novel method for computing JPEG quantization matrices based on desired mean square error, avoiding the classical trial and error procedure. First, we use a relationship between a Laplacian source and its quantization error when uniform quantization is used in order to find a model for uniform quantization error. Then we apply this model to the coefficients obtained in the JPEG standard once the image to be compressed has been transformed by the discrete cosine transform. This allows us to compress an image using JPEG standard under a global MSE (or PSNR) constraint and a set of local constraints determined by JPEG standard and visual criteria. Simulations show that our method generates better quantization matrices than the classical method of scaling the JPEG default quantization matrix, with a cost lower than the coding, decoding and error measuring procedure.

关键词： Laplacian sources uniform quantization error JPEG standard

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A cryptanalysis procedure of the data encryption standard

A cryptanalysis procedure of the data encryption standard

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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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Classifying spectra based on DLS and rough set

Classifying spectra based on DLS and rough set

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

作者： Qiu, B Hu, ZY Zhao, YH Natl Lab Pattern Recognit Beijing Peoples R China

ISBN: (纸本)0819445606

Until now, it is still difficult to identify different kinds of celestial bodies depending on their spectra, because it needs a lot of astronomers' manual work of measuring, marking and identifying, which is generally very hard and time-consuming. And with the exploding spectral data from all kinds of telescopes, it is becoming more and more urgent to find a thoroughly automatic way to deal with such a kind of problem. In fact, when we change our viewpoint, we can find that it is a traditional problem in pattern recognition field when considering the whole process of dealing with spectral signals: filtering noises, extracting features, constructing classifiers, etc. The main purpose for automatic classification and recognition of spectra in LAMOST (Large Sky Area Multi-Object Fibre Spectroscopic Telescope) project is to identify a celestial body's type only based on its spectrum. For this purpose, one of the key steps is to establish a good model to describe all kinds of spectra and thus it will be available to construct some excellent classifiers. In this paper, we present a novel describing language to represent spectra. And then, based on the language, we use some algorithms to extract classifying rules from raw spectra datasets and then construct classifiers to identify spectra by using rough set method. Compared with other methods, our technique is more similar to man's thinking way, and to some extent, efficient.

关键词： classification spectrum DLS rough set

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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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Watermarking-based protection of remote sensing images: requirements and possible solutions

Watermarking-based protection of remote sensing images: requ...

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4th Conference on mathematics of image and data coding, compression, and encryption

作者： Barni, M Bartolini, F Cappellini, V Magli, E Olmo, G Univ Siena Dept Informat Engn I-53100 Siena Italy

ISBN: (纸本)0819441899

Earth observation missions have recently attracted a growing interest from the scientific and industrial communities, mainly due to the large number of possible applications capable to exploit remotely sensed data and images. Along with the increase of market potential, the need arises for the protection of the image products from non-authorized use. Such a need is a very crucial one even because the Internet and other public/private networks have become preferred means of data exchange. A crucial issue arising when dealing with digital image distribution is copyright protection. Such a problem has been largely addressed by resorting to watermarking technology. A question that obviously arises is whether the requirements imposed by remote sensing imagery are compatible with existing watermarking techniques. On the basis of these motivations, the contribution of this work is twofold: i) assessment of the requirements imposed by the characteristics of remotely sensed images on watermark-based copyright protection ii) analysis of the state-of-the-art, and performance evaluation of existing algorithms in terms of the requirements at the previous point.

关键词： Digital watermarking Remote sensing image resolution image classification image compression Multimedia Algorithm development Electronics Visualization image encryption

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The synaptic morphological perceptron

The synaptic morphological perceptron

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Conference on mathematics of data/image pattern Recognition, compression and encryption with Application IX

作者： Myers, Daniel S. Sandia Natl Labs Albuquerque NM 87185 USA

ISBN: (纸本)0819463949

In recent years, several researchers have constructed novel neural network models based on lattice algebra. Because of computational similarities to operations in the system of image morphology, these models are often called morphological neural networks. One neural model that has been successfully applied to many pattern recognition problems is the single-layer morphological perceptron with dendritic structure (SLMP). In this model, the fundamental computations are performed at dendrites connected to the body of a single neuron. Current training algorithms for the SLMP work by enclosing the target patterns in a set of hyperboxes orthogonal to the axes of the data space. This work introduces an alternate model of the SLMP, dubbed the synaptic morphological perceptron (SMP). In this model, each dendrite has one or more synapses that receive connections from inputs. The SMP can learn any region of space deter-mined by an arbitrary configuration of hyperplanes, and is not restricted to forming hyperboxes during training. Thus, it represents a more general form of the morphological perceptron than previous architectures.

关键词： morphological neural network morphological perceptron lattice algebra pattern recognition

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Maximizing reading: pattern analysis to describe points of gaze

Maximizing reading: pattern analysis to describe points of g...

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Conference on mathematics of data/image pattern Recognition, compression and encryption with Application IX

作者： Paeglis, Roberts Bagucka, Kristine Sjakste, Nikolajs Lacis, Ivars Latvian Univ Dept Vis Sci 8 Kengaraga Str LV-1063 Riga Latvia Univ Latvia Fac Med LV-1001 Riga Latvia

ISBN: (纸本)0819463949

As people read texts, their points of gaze can be described either as a sequence or as a pattern of dots. If reading fixations are visualized as a pattern and their duration is graphically attributed to the 3(rd) dimension, image processing techniques can be employed to describe individual reading styles. Two reader groups of text editors and of University students were matching according to parametric tests. Yet they appeared to have marked inter-subject variability of fixation distribution when individual cases were considered. To illustrate this, we applied a simple "Coulomb law"- like model that takes both fixation duration and spacing into account. Further the image entropy filter was shown to distinguish the readers by the extreme value points. Statistical averaging can level out differences in reading patterns that appear by image processing techniques.

关键词： skilled reader eye movements fixation texture MATLAB iViewX

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Bit plane encoding and encryption

引用

2nd International Conference on pattern Recognition and Machine Intelligence

作者： Yekkala, Anil Madhavan, C. E. Veni Philips Elect India Ltd Bangalore Karnataka India Indian Inst Sci Bangalore Karnataka India

ISBN: (纸本)9783540770459

The rapid growth in multimedia based Internet systems and applications like video telephony, video on demand and also tele-medicine has created a great need for multimedia security. One of the important requirements for multimedia security is encryption. Owing to the size of multimedia data and real time requirements, lightweight encryption schemes are important. Lightweight encryption schemes are based on taking the structure of multimedia data into consideration and partially encrypting the content. Even though several lightweight encryption schemes are existing for lossy compression schemes, their do not exist any lightweight encryption scheme for lossless compression. In this paper we present a lossless compression scheme for image, and we show how this scheme can be also used for supporting scalable lightweight encryption.

关键词： image coding

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Comparison of wavelet and Karhunen-Loeve transforms in video compression applications

Comparison of wavelet and Karhunen-Loeve transforms in video...

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Proceedings of the 1999 mathematics of data/image coding, compression, and encryption II

作者： Musatenko, Yurij S. Soloveyko, Olexandr M. Kurashov, Vitalij N. Kyiv Univ Kyiv Ukraine

In the paper we present comparison of three advanced techniques for video compression. Among them 3D Embedded Zerotree Wavelet (EZW) coding, recently suggested Optimal image coding using Karhunen-Loeve (KL) transform (OICKL) and new algorithm of video compression based on 3D EZW coding scheme but with using KL transform for frames decorrelation (3D-EZWKL). It is shown that OICKL technique provides the best performance and usage of KL transform with 3D-EZW coding scheme gives better results than just usage of 3D-EZW algorithm.

关键词： image compression

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