Multidimensional Processing of Video Signals: 171 (The Springer International Series in Engineering and Computer Science, 171)

Giovanni L. Sicuranza, Sanjit K. Mitra

ISBN 10: 0792392280 / ISBN 13: 9780792392286

Published by Springer, 1992

About this Item

Reprinted from MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 3:2/3, 1992.

Seller Inventory # LU-9780792392286

Bibliographic Details

• Title: Multidimensional Processing of Video Signals: 171 (The Springer International Series in Engineering and Computer Science, 171)
• Publisher: Springer
• Publication Date: 1992
• Language: English
• ISBN 10: 0792392280
• ISBN 13: 9780792392286
• Binding: Book
• Edition: 2nd Edition
• Condition: New
• Dimensions: 15.39W x 1.68H x 22.5D centimeters 15.39 centimeters width by 1.68 centimeters height by 22.5 centimeters depth
• Weight: 485 grams

About this title

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.