Multidimensional Processing of Video Signals

✍ Scribed by Giovanni L. Sicuranza, Sanjit K. Mitra (auth.), Giovanni L. Sicuranza, Sanjit K. Mitra (eds.)

• Publisher: Springer US
• Year: 1992
• Tongue: English
• Leaves: 190
• Series: The Springer International Series in Engineering and Computer Science 171
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-iv
Introduction....Pages 3-4
Motion Adaptive Scan Rate Up-conversion....Pages 5-22
Spectral Estimation of Video Signals....Pages 23-52
Multiresolution Coding Techniques for Digital Television: A Review....Pages 53-79
Multiresponse Imaging: Information and Fidelity....Pages 81-102
Motion-Compensated Filtering of Time-Varying Images....Pages 103-131
Hybrid Coders with Motion Compensation....Pages 133-158
Contour Image Sequence Compression through Motion Analysis and Hybrid Coding Method....Pages 159-188
Back Matter....Pages 189-189

✦ Subjects

Circuits and Systems; Signal, Image and Speech Processing; Electrical Engineering; Computer Imaging, Vision, Pattern Recognition and Graphics