Infrared Image Non-Uniformity Correction - Two-Point Method
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Infrared image non-uniformity correction is a crucial image processing technique. The two-point correction method effectively enhances infrared image quality and accuracy by compensating for pixel-to-pixel variations in the detector array. This widely adopted approach involves capturing calibration images at two different uniform temperature points (typically high and low temperatures) to compute correction parameters for each pixel. The implementation typically includes calculating gain and offset coefficients using the formula: corrected_pixel = gain × raw_pixel + offset. This proven method offers reliable performance in practical applications due to its mathematical robustness and implementation simplicity. If you're working with infrared image processing, we encourage you to download and experiment with this method - you'll appreciate its significant improvement in image uniformity and measurement accuracy! Download now!
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