Research on Crosstalk and Color Aliasing Compensation of Color Image Sensor Based on Artificial Neural Network

In this paper, the image sensor compensation frameworks are established based on the correlation of pixel response characteristics; The pixel response model is established, and a method to measure the crosstalk of adjacent pixels of color image sensor under flat field light is proposed; at the same time, an artificial neural network training set is constructed by using the measured values and theoretical values of pixel response generated by combined exposures; a compensation method of using neural network compensation framework to replace high-dimensional neural network to traverse the image is proposed, which reduces the scale and training complexity of neural network; Finally, the corresponding spatial arrangement data of pixels are transformed into the frequency domain through the Fourier expansion algorithm, and the compensation effect is evaluated according to the change of high-frequency components. According to the experimental results, this method can effectively suppress color aliasing and crosstalk noise of the color image sensor. This paper provides a new method to compensate color aliasing and crosstalk noise.