Method for Crosstalk Image Correction of Digital Camera Based on Calibration and Image Processing

For the problem of output image overlap caused by signal crosstalk in multi-channel digital cameras, we tracked the crosstalk coefficient using the data from the self-developed four-channel CCD digital camera system, and found a strong correlation between the crosstalk coefficient, the input signal intensity, and the system readout speed. For such system noise crosstalk, we propose a crosstalk image correction method based on calibration and image processing. This method establishes the relationship between the crosstalk proportion coefficient and Digital Number, which can be used to infer the amount of interference in the crosstalk channel and realize the crosstalk image recovery algorithm and the systematic error correction. The test results show that after the image restoration correction, the crosstalk degree is reduced to the level of base white noise, and the image quality is greatly improved. This method has a significant effect on the fixed pattern noise caused by the hardware process defects in the imaging system, and also suppresses the noise-type interference of the system, which can be used as a supplement to the image quality optimization of the general image system in practice.