Author(s) | Collection number | Pages | Download abstract | Download full text |
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Lutskiv M. M., Федина Б. І., Huk I. B., Buben V. R. | № 2 (63) | 11-19 |
A raster transformation demodulation simulator with square elements has been developed based on the Yule-Nielsen algorithm. The block diagram of the simulator model in the MATLAB-Simulink package is constructed, which allows one to calculate and form the demodulation characteristics for linear and quadratic change of the relative area of raster elements at the same time and to analyse their properties.
The results of simulation modelling are presented in the form of raster demodulation characteristics, in which the relative area varies according to linear and nonlinear raster algorithm. It is proposed to assess the demodulation characteristic by the deviation from linearity, which is an asymmetric concave curve, and its maximum value is 19.1%. The sensitivity of the raster density is determined depending on the shape of the raster element, the maximum values of which are 7.04 and 13.28 units. The relative printing contrast for normalized values of relative areas is determined, which varies from 0.91 to 0.58 depending on the tone transfer interval and characterizes the reproduction process quality.
The values of relative contrast are calculated for the given relative areas of different companies, which correspond to the recommendations of the companies. It is established that when demodulating a raster transformation with a quadratic area change, the image is significantly illuminated throughout the tone transfer interval. It is proved that the relative contrast is not a complete assessment of the raster transformation demodulation, and the demodulation illuminates the image throughout the tone transfer interval.
The results of this study can be used at the stage of preparation of images for rasterization to compensate for the impact of derasterization on the image quality.
Keywords: demodulation, rasterization, square element, simulator, characteristics, nonlinearity, sensitivity, contrast.
doi: 10.32403/1998-6912-2021-2-63-11-19