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Circuits and Systems for Video Technology, IEEE Transactions on

Issue 3 • Date Sep 1991

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Displaying Results 1 - 6 of 6
  • Polyphase FIR filters for the demodulation of chrominance signals

    Page(s): 279 - 288
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (876 KB)  

    The author presents an estimation scheme and its polyphase finite-duration impulse-response (FIR) filter implementation for the demodulation of composite chrominance signals into color difference components such as in-phase and quadrature-phase components. A decoding scheme with three-tap polyphase FIR filters is presented. The least square error estimators, which estimate the chrominance components, are derived and their performance analyzed. The composite video signal is reviewed and the digitization of the video signal is described. The author formulates the demodulation of the digitized video signal as an estimation problem. A polyphase FIR filter implementation of the resultant estimators for the chrominance components is then described View full abstract»

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  • Image filtering with orthogonal projectors for burst error control

    Page(s): 269 - 278
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (940 KB)  

    The design of image prefilters for error control is considered and seen to be closely related to the problem of designing antialiasing filters to precede signal decimation. Intrafield codes are introduced, some of which can be implemented with fewer than 1 multiplier per 100 pixels. These codes have a great advantage in a bandlimited TV environment over alternative error-control methods requiring no redundancy, since they depend on prefiltering of the image. The primary implementation cost is, therefore, that of intrafield processors at the source and receiver. These processors consist primarily of a field store and of simple arithmetic units implementing vertical line (comb). filtering. In the optimal filters discussed, most coefficients are ±1's. An application to compatible coding of TV signals for control of impulse errors in NTSC signals is presented. The emphasis is on encoding by vertical filtering and burst error estimation View full abstract»

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  • Two-dimensional switched capacitor filter design system for real-time image processing

    Page(s): 241 - 246
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (416 KB)  

    The author presents a new method of switched capacitor (SC) network design for two-dimensional real-time filtering. A model of such a network is presented with a computer design system for 2-D SC filters. This system uses a novel compact matrix description of a 2-D network that is fast and efficient. The problem of 2-D filter design is reduced to the problem of 1-D multiport SC network synthesis. This SC network is obtained with the use of a lossless nonreciprocal prototype circuit. A 2-D high-emphasis filter illustrates the operation of this system. Such a filter can be realized as a single CMOS chip and, in comparison with digital realization, a considerable reduction in cost and power consumption can be achieved View full abstract»

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  • Matrix representations of the multidimensional overlap and add technique

    Page(s): 289 - 290
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    The authors present sparse matrix representations for multidimensional Agarwal-Burrus nesting. It is shown that the resulting sparse matrices can be expressed in terms of tensor product decompositions. The formulations derived provide a highly compact representation of this approach to nesting. The tensor product approach also provides the needed structure to easily derive several variant schemes that are well suited for use on many types of computer architectures View full abstract»

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  • Multivariate ordering in color image filtering

    Page(s): 247 - 259, 295-6
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    Multivariate data ordering and its use in color image filtering are presented. Several of the filters presented are extensions of the single-channel filters based on order statistics. The statistical analysis of the marginal order statistics is presented for the p-dimensional case. A family of multichannel filters based on multivariate data ordering, such as the marginal median, the vector median, the marginal α-trimmed mean, and the multichannel modified trimmed mean filter, is described in detail. The performance of the marginal median and the vector median filters in impulsive noise filtering is investigated. Simulation examples of the filters under study are described View full abstract»

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  • Mixed domain filtering of multidimensional signals

    Page(s): 260 - 268
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    The concept of multidimensional mixed domain transform/spatiotemporal (MixeD) filtering is extended beyond the discrete Fourier transform (DFT) to include other types of discrete sinusoidal transforms, including the discrete Hartley transform (DHT) and the discrete cosine transform (DCT). Two MixeD filter examples are given, one using the two-dimensional (2-D) DHT and the other using the 2-D DCT, to selectively enhance a 3-D spatially planar (SP) pulse signal. The authors define the notation and provide a review of the MixeD filter method. MD and partial P-dimensional discrete transform operators are defined, and the design of MixeD filters is discussed. MixeD filters based on the 2-D DHT and the 2-D DCT are designed to selectively enhance a 3-D SP pulse. Experimental verification of these 3-D SP MixeD filters is described View full abstract»

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Aims & Scope

The emphasis is focused on, but not limited to:
1. Video A/D and D/ A
2. Video Compression Techniques and Signal Processing
3. Multi-Dimensional Filters and Transforms
4. High Speed Real-Tune Circuits
5. Multi-Processors Systems—Hardware and Software
6. VLSI Architecture and Implementation for Video Technology 

 

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dan Schonfeld
Multimedia Communications Laboratory
ECE Dept. (M/C 154)
University of Illinois at Chicago (UIC)
Chicago, IL 60607-7053
tcsvt-eic@tcad.polito.it

Managing Editor
Jaqueline Zelkowitz
tcsvt@tcad.polito.it