Reduction of Saturation Error Value of PAL Television System Using Inverse Matrix Generator Model

Abstract

Reduction of Saturation Error Value of PAL Television System Using Inverse Matrix Generator Model, is aimed at the need to improve received picture quality in the event of distortion in the transmitted picture that could cause differential phase difference on received image signals which is the cause of saturation error. Saturation error leads to darkening of the picture colour and, thus, introduction of huge hue changes from the original. This thesis highlights the effects of saturation error to television image viewing, it analyses various methods that could be adopted to reduce saturation error, and it provides a unique model that reduces or eliminates saturation error of PAL colour television system. The model utilizes an inverse matrixes generator that is combined with a zero-window comparator and a low-pass filter network to ensure that saturation error of PAL television is reduced or eliminated. An analysis of the inverse matrix generator model using MatLab simulink shows that it adequately reduces saturation error by 99%; thus, presenting itself as a unique model that can be used to improve the quality of pictures and images when transmitted under poor condition, causing a differential phase error to be introduced into the system.

Keywords: PAL, Saturation, Amplitude, Hue, Inverse Matrix.