METHOD OF CALCULATION OF PARAMETERS OF ANTI-ALIASING FILTERS FOR CORRECTION OF SPECTRAL CHARACTERISTICS DEPENDING ON THE SAMPLING STRUCTURES USED IN COLOR FILTER ARRAYS

When developing algorithms and methods for generating and processing image signals (IS) used in devices based on single-matrix light-to-signal converters (LSC), the effects of not only the elements of the system included in the optical pathway (OP) located directly between the exposed image and device sensor, but also the specifics of the structure of color filter arrays (CFA) used in such cameras, applied to the surface of the matrix. In this article analyzed the most popular SSF subsampling structures and their impact on the spatial characteristics of the generated images. Based on the model for constructing these characteristics, a method is given for calculating the optimal parameters of anti-aliasing filters that match the properties of the OP and the sensor for a given characteristic of the optical system. Specific examples of calculating and optimizing such filters and evaluating their impact on the amplitude characteristics of signals are given. Based on the results of applying the developed method, formulated recommendations for the design of the CFA.