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Proceedings Paper

Improved PAL decoding via multidimensional filtering
Author(s): Andrea Biasiolo; Stefano Dal Poz
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Paper Abstract

Since 1975, starting with the fundamental work of J.O. Drewery ( 1 ) , the problem of clean PAL decoding was deal t wi th the tool of multidimensional filtering. The need to fulfil subjective requirements led the authors of the previous works to design very simple filters with poor frequential characteristics, obtained without software design tools. The aim of this work is to show that software tools for the design of multidimensional (MD) filters using linear programming are to be considered powerful also in solving problems of luminance/chrominance (Y/C) separation in received PAL signals. Furthermore this approach allows to harmonize the design specifications and the requirements imposed by the human eye.

Paper Details

Date Published: 1 November 1990
PDF: 10 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23517
Show Author Affiliations
Andrea Biasiolo, Seleco SpA (Italy)
Stefano Dal Poz, Seleco SpA (Italy)


Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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