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IEEE International Conference on Image Processing

作者： G.R. Canta G. Poggi Dipartimento di Ingegneria Elettronica Università di Napoli Federico II Napoli Italy

This paper proposes a new technique based on vector quantization (VQ) for very low bit-rate encoding of multispectral images. The new algorithm relies on the observation that in high spectral-resolution imagery the shape of a generic spatial block does not change significantly from band to band. Therefore, it is reasonable to represent each 3-D spatial/spectral block as the Kronecker product of a spatial-shape vector and a spectral-gain vector, and to jointly quantize only these representative vectors in place of the original block. Even though such an encoding strategy is suboptimal with respect to full-search VQ, the huge complexity reduction allows one to use much larger blocks and to better exploit the redundancy among close pixels of the image. Numerical experiments carried out on high spectral-resolution images show fully satisfactory results, with compression ratios exceeding 100:1, good image quality and very low encoding complexity.

关键词： Vector quantization Image coding Shape Encoding Multispectral imaging Hyperspectral sensors Satellites compression algorithms Computational complexity Pixel

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Chrominance vector quantization for cellular video-telephony

Chrominance vector quantization for cellular video-telephony

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International Workshop on Wireless Image/Video Communications

作者： M. Bartkowiak M. Domanski P. Gerken Instytut Elektroniki i Telekomunikacji Politechnika Poznanska Poznan Poland Institut fuer Theoretische Nachrichtentechnik und Informationsverarbeitung Universitaet Hannover Hanover Germany

The paper describes a vector quantization technique which can be added to a standard codec, like H.263, in order to improve its performance for very high compression. The main idea is to convert two chrominance components of a video-telephone signal into one scalar signal. This scalar chrominance signal is then compressed in a motion compensated coder. The crucial problem is proper ordering of the pixel numbers which are labels of the codebook entries. This ordering dramatically influences the performance of the coder.

关键词： Vector quantization Streaming media Video sequences Codecs Video compression Decoding Code standards Data compression compression algorithms Independent component analysis

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Subband coding of binary textual images for document retrieval

Subband coding of binary textual images for document retriev...

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IEEE International Conference on Image Processing

作者： O.N. Gerek A.E. Cetin A.H. Tewfik Department of Electrical Engineering Bilkent University Ankara Turkey Department of Electrical Engineering University of Minnesota Minneapolis MN USA

Efficient compression of binary textual images is very important for applications such as document archiving and retrieval, digital libraries and facsimile. The basic property of a textual image is the repetitions of small character images and curves inside the document. Exploiting the redundancy of these repetitions is the key step in most of the coding algorithms. We use a similar compression method in the subband domain. Four different subband decomposition schemes are described and their performance on a textual image compression algorithm is examined. Experimentally, it is found that the described methods accomplish high compression ratios and they are suitable for fast database access and keyword search.

关键词： Image coding Image retrieval Keyword search Image databases Software libraries Optical character recognition software Filter bank Facsimile compression algorithms Information retrieval

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Robust Speech Coding for the Preservation of Speaker Identity

Robust Speech Coding for the Preservation of Speaker Identit...

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International Symposium on Signal Processing and Its Applications (ISSPA)

作者： M. Phythian J. Leis S. Sridharan Faculty of Engineering University of Southern Queensland Toowoomba Australia Signal Processing Research Centre Queensland University of Technology Brisbane Australia

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A frame-work for live multicast of video streams over the Internet

A frame-work for live multicast of video streams over the In...

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IEEE International Conference on Image Processing

作者： N. Chaddha A. Gupta Computer Systems Laboratory University of Stanford Stanford CA USA

This paper presents a frame-work for live multicast of video streams over the Internet. The overall system combines a scalable video compression algorithm, a cheap software only real-time video encoder and decoder, and a network unit. The scalable compression algorithm produces an embedded bit-stream to support decoders with various spatial and temporal resolutions. Bandwidth scalability with a dynamic range from a few Kbps to several Mbps is provided. The subjective quality of compressed frames improves significantly by the use of perceptual distortion measures. For cheap software only encoding and decoding we use hierarchical table-lookup vector quantization. Multiple multicast groups are used for the delivery of the scalable streams over the Internet.

关键词： Streaming media Internet Video compression Decoding Multicast algorithms Software algorithms Real time systems compression algorithms Spatial resolution Bandwidth

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A compact representation for stereoscopic sequences with NTSC spectral compatibility

A compact representation for stereoscopic sequences with NTS...

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International Conference on Pattern Recognition

作者： F. Labonte C.T. Le Dinh P. Cohen Perception and Robotics Laboratory Ecole Polytechnique de Montreal Canada

This paper describes a new compression method for interlaced stereoscopic image sequences, which compacts the stereo information into the spectral space of a single NTSC channel. The left and right fields of the stereoscopic pairs are each decomposed into a lowpass and a highpass components. High-frequency components are limited to an area of fixation, thus allowing a reduction of their spectral extent. A composite video signal is then formed by positioning the different components in the available spectral space through filtering and modulation. Compatibility of the produced signal with the NTSC standard is ensured by using the same spectral region for the chrominance information and the same colour subcarrier. Good quality results are obtained with relatively simple 2D separable spatial filters at a reasonable computational cost.

关键词： Layout Image coding compression algorithms Spatial resolution Image sequences Telerobotics Humans Orbital robotics Laboratories Filtering

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IEEE Parallel & Distributed Technology: Systems & Applications 1996年第4期4卷 35-35页

作者： M. Pernice

Advertisement: Academic Press.

关键词： Book reviews Fast Fourier transforms Wavelet transforms Scientific computing Numerical analysis Convergence Polynomials Chaos Fractals compression algorithms

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VECTOR-BASED SIGNAL-PROCESSING AND QUANTIZATION FOR IMAGE AND VIDEO compression

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PROCEEDINGS OF THE IEEE 1995年第2期83卷 317-335页

作者： LI, WP ZHANG, YQ GTE LABS INC WALTHAMMA 02254

Image and video compression has become an increasingly important and active area. Many techniques have been developed in this area. Any compression technique can be modeled as a three-stage process. The first stage can be generally called a signal processing stage where an image or video signal is converted into a different domain. Usually, there is no or little loss of information in this stage. The second stage is quantization where loss of information occurs. The third stage is lossless coding that generates the compressed bit stream. The purpose of the signal processing stage is to convert an image or video signal into such a form that quantization can achieve better performance than without the signal processing stage. Because the quantization stage is the place where most of compression is achieved and loss of information occurs, it is naturally the central stage of any compression technique. Since scalar quantization or vector quantization may be used in the second stage, the operation in the first stage should be scalar-based or vector-based respectively in order to match the second stage so that the compression performance can be optimized. In this paper, we summarize the most recent research results on vector-based signal processing and quantization techniques that have shown high compression performance.

关键词： Video signal processing Quantization Video compression Image coding Image converters Signal processing Signal processing algorithms Very large scale integration compression algorithms Bit rate

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FILTERING RANDOM NOISE FROM DETERMINISTIC SIGNALS VIA DATA-compression

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1995年第11期43卷 2595-2605页

作者： NATARAJAN, BK Hewlett Packard Laboratories Palo Alto CA USA

We present a novel technique for the design of filters for random noise, leading to a class of filters called Occam filters. The essence of the technique is that when a lossy data compression algorithm is applied to a noisy signal with the allowed loss set equal to the noise strength, the loss and the noise tend to cancel rather than add. We give two illustrative applications of the technique to univariate signals. We also prove asymptotic convergence bounds on the effectiveness of Occam filters.

关键词： Filtering Data compression Noise cancellation Wiener filter Nonlinear filters compression algorithms Additive noise Convergence Power measurement Noise measurement

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SPECTRAL AND SPATIAL DECORRELATION OF LANDSAT-TM DATA FOR LOSSLESS compression

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1995年第5期33卷 1277-1285页

作者： WANG, JF ZHANG, KH TANG, SW UNIV WESTERN ONTARIO DEPT COMP SCILONDONON N6A 5B7CANADA BEIJING COMP INST DEPT COMP SCIBEIJINGPEOPLES R CHINA

This paper presents some new techniques of spectral and spatial decorrelation in lossless data compression of remotely sensed imagery. These techniques provide methods to efficiently compute the optimal band combination and band ordering based on the statistical properties of Landsat-TM data. Experiments on several Landsat-TM images show that using both the spectral and the spatial nature of the remotely sensed data results in significant improvement over spatial decorrelation alone. These techniques result in higher compression ratios and are computationally inexpensive.

关键词： Decorrelation Satellites Remote sensing Image coding Data compression Computer science Reflectivity Image reconstruction compression algorithms Councils

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