Multidimensional Processing of Video Signals, Softcover reprint of the original 1st ed. 1992
The Springer International Series in Engineering and Computer Science Series, Vol. 171

Coordinators: Sicuranza Giovanni L., Mitra Sanjit K.

Language: English
Cover of the book Multidimensional Processing of Video Signals

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A color time-varying image can be described as a three-dimensional vector (representing the colors in an appropriate color space) defined on a three-dimensional spatiotemporal space. In conventional analog television a one-dimensional signal suitable for transmission over a communication channel is obtained by sampling the scene in the vertical and tem­ poral directions and by frequency-multiplexing the luminance and chrominance informa­ tion. In digital processing and transmission systems, sampling is applied in the horizontal direction, too, on a signal which has been already scanned in the vertical and temporal directions or directly in three dimensions when using some solid-state sensor. As a conse­ quence, in recent years it has been considered quite natural to assess the potential advan­ tages arising from an entire multidimensional approach to the processing of video signals. As a simple but significant example, a composite color video signal, such as the conven­ tional PAL or NTSC signal, possesses a three-dimensional spectrum which, by using suitable three-dimensional filters, permits horizontal sampling at a rate which is less than that re­ quired for correctly sampling the equivalent one-dimensional signal. More recently it has been widely recognized that the improvement of the picture quality in current and advanced television systems requires well-chosen signal processing algorithms which are multidimen­ sional in nature within the demanding constraints of a real-time implementation.
Editorial.- Motion Adaptive Scan Rate Up-Conversion.- Spectral Estimation of Video Signals.- Multiresolution Coding Techniques for Digital Television: A Review.- Multiresponse Imaging: Information and Fidelity.- Motion-Compensated Filtering of Time Varying Images.- On the Hybrid Coders with Motion Compensation.- Contour Image Sequence Compression through Motion Analysis and Hybrid Coding Method.