Improved PAL decoding via multidimensional filtering

Andrea Biasiolo; Stefano Dal Poz

doi:10.1117/12.23517

1 November 1990 Improved PAL decoding via multidimensional filtering

Andrea Biasiolo, Stefano Dal Poz

Proceedings Volume 1349, Applications of Digital Image Processing XIII; (1990) https://doi.org/10.1117/12.23517
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

Citation Download Citation

Andrea Biasiolo and Stefano Dal Poz "Improved PAL decoding via multidimensional filtering", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23517

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