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mathematics of data/image coding, compression and encryption ii

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

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1999年

作者： Society For Indust Mark Steven Schmalz

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Truncated baker transformation and its extension to image encryption

Truncated baker transformation and its extension to image en...

引用

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

作者： Miyamoto, M Tanaka, K Sugimura, T Shinshu Univ Fac Engn Wakasato Nagano 3808553 Japan

ISBN: (纸本)0819433004

This paper presents a new truncated Baker transformation with a finite precision and extends it to an efficient image encryption scheme. The truncated Baker transformation uses the quantization error as a secret key, which is always produced by contraction mechanism in the mapping process. The original dynamics by Baker transformation is globally preserved but a random local rotation operator is incorporated between two neighbor elements in the mapping domain in order to keep the same precision. Such perturbations are local and small in each mapping, however, as the mapping process goes on they will gradually accumulate and affect the whole dynamics. Consequently, generated binary sequences (the dynamics of elements) have statistically good features on ergodicity, mixing and chaotic properties. The extended image encryption scheme efficiently shuffle the input gray level image making difficult for a third party to decode the ciphered data to the original image without knowing the proper secret key.

关键词： chaos Baker transformation Bernoulli schemes K-flow image encryption

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data encryption scheme with extended artithmetic coding

Data encryption scheme with extended artithmetic coding

引用

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

作者： Ishibashi, H Tanaka, K Shinshu Univ Fac Engn Nagano 3808553 Japan

ISBN: (纸本)0819441899

In this work, we extend arithmetic coding and present a data encryption scheme that achieves data compression and data security at the same time. This scheme is based on a chaotic dynamics, which makes use of the fact that the decoding process of arithmetic coding scheme can be considered as the repetition of Bernoulli shift map. data encryption is achieved by controlling the piecewise linear maps by a secret key in three kinds of approach: (i) perturbation method, (ii) switching method, and (iii) source extension method. Experimental results show that the obtained arithmetic codes for a message are randomly distributed on the mapping domain [0,1) by using different keys without seriously deteriorating the compression ratio, and the transition of the orbits in the domain [0,1) is similar to the chaotic dynamics.

关键词： arithmetic coding data encryption data compression chaotic dynamical system pieceivise linear map

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A Novel Approach for Fuzzy Edge Detection Using Type ii Fuzzy Sets

A Novel Approach for Fuzzy Edge Detection Using Type II Fuzz...

引用

Conference on mathematics of data/image Pattern Recognition, compression, coding and encryption X, with Applications XI

作者： Madasu, Vamsi Krishna Hanmandlu, Madasu Vasikarla, Shantaram Queensland Univ Technol Sch Engn Syst Brisbane Qld 4001 Australia IIT Dept Elect Engn Delhi India Amer InterCont Univ Sch Informat Technol Los Angeles CA 90066 USA

ISBN: (纸本)9780819472953

A novel approach is presented for edge detection using the USAN area feature at a pixel, since the USAN area characterizes the structure of the edge present in the neighborhood of a pixel. Next, Gaussian edge detector mask is applied at each pixel taking the membership function of the USAN area. The resultant is then modified and thresholded to yield the binary image. The results of the proposed edge detector is compared with other well known edge detector like Canny, SUSAN, Gradient diffusion operator etc. The edge detected image from the proposed approach seems to fare well over others. Moreover this edge detector also preserves the structure of the image unlike Canny. This is an added advantage with this approach.

关键词： image edge analysis Fuzzy Sets Optimization

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Power- and space-efficient image computation with compressive processing. 1. Background and theory

Power- and space-efficient image computation with compressiv...

引用

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

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

ISBN: (纸本)0819437670

Surveillance imaging applications on small autonomous imaging platforms present challenges of highly constrained power supply and form factor, with potentially demanding specifications for target detection and recognition. Absent of significant advances in image processing hardware, such power and space restrictions can imply severely limited computational capabilities. This holds especially for compute-intensive algorithms with high-precision fixed- or floating-point operations in deep pipelines that process large data streams. Such algorithms tend not to be amenable to small or simplified architectures involving (for example) reduced precision, reconfigurable logic, low-power gates, or energy recycling schemes. In this series of two papers, a technique of reduced-power computing called compressive processing (CXP) is presented and applied to several low- and mid-level computer vision operations. CXP computes over compressed data without resorting to intermediate decompression steps. As a result of fewer data due to compression, fewer operations are required by CXP than are required by computing over the corresponding uncompressed image. In several cases, CXP techniques yield speedups on the order of the compression ratio. Where lossy high-compression transforms are employed, it is often possible to use approximations to derive CXP operations to yield increased computational efficiency via a simplified mix of operations. The reduced work requirement, which follows directly from the presence of fewer data, also implies a reduced power requirement, especially if simpler operations are involved in compressive versus noncompressive operations. Several image processing algorithms (edge detection, morphological operations, and component labelling) are analyzed in the context of three compression transforms: vector quantization (VQ), visual pattern image coding (VPIC), and EBLAST. The latter is a lossy high-compression transformation developed for underwater communication

关键词： image compression error analysis compressive processing

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

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

引用

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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An adaptive predictor for efficient lossless coding of FTS inteferograms

An adaptive predictor for efficient lossless coding of FTS i...

引用

mathematics of data/image coding, compression, and encryption V, with Applications

作者： Belfore ii, Lee A. Dept. of Electrical and Comp. Eng. Old Dominion University Norfolk VA 23529 United States

Interferograms obtained from Fourier transform spectrometers (FTS) can be used to obtain high resolution optical spectral measurements. Accompanying high resolution spectra is the resulting large date volumes. This paper describes efforts directed at defining a predictor that will result in efficient lossless coding of interferograms. Interferograms generally contain informational redundancies that can be exploited by lossless coders. In addition, many interferograms show regions exhibiting short term periodicity. The short term periodicity is derived by taking the Fourier transform of the points preceding the desired prediction point. Prediction residuals are then losslessly coded with the Rice entropy coder. Compared with interferograms compressed with the Rice coding algorithm, the proposed predictor shows improved compression in most cases.

关键词： image coding

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proceedings of SPIE: mathematics of data/image Pattern Recognition, compression, and encryption with Applications XI

Proceedings of SPIE: Mathematics of Data/Image Pattern Recog...

引用

mathematics of data/image Pattern Recognition, compression, and encryption with Applications XI

ISBN: (纸本)9780819472953

The proceedings contain 22 papers. The topics discussed include: data compression in emitter location systems via sensor pairing and selection;impact of wavelet types on image data characteristics during compression;optimization of HVS-based objective image quality assessment with eye tracking;lossless compression of images with permutation codes;neural network-based watermark embedding and identification;an image watermark tutorial tool using Matlab;the optimum approximation of an orthogonal expansion having bounded higher order correlations of stochastic coefficients;simultaneous minimization of various worst case measures of error in FIR filter bank;flash hyperspectral imaging of non-stellar astronomical objects;area-based novel approach for fuzzy edge detection using type ii fuzzy sets;and compensation method for quantitative observation of multicolor fluorescence with nonlinear mapping.

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An H.264 video encryption algorithm based on entropy coding

An H.264 video encryption algorithm based on entropy coding

引用

3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing

作者： Cai Mian Jia Jia Yan Lei Beijing Univ Technol Sch Elect Informat & Control Engn Beijing 100022 Peoples R China

H.264 video coding standard supports a broad range of application, and how to guarantee its security has already become an urgent problem. In this paper, we propose a, video encryption algorithm for H.264, which combines stream cipher algorithm with entropy coding process. It obtains video content security by encrypting codeword index to scramble the position of the codeword. Experiments show that, the proposed algorithm is, able to provide compromise between security and complexity, has little effect on compression performance. It's believed to be applied in the fields of video conference, digital rights management, multimedia storage, etc.

关键词： Cryptography Entropy coding Video compression Videoconference Video on demand Video coding Transform coding Information security Streaming media data security

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