Nonuniformity Correction of Infrared Images by Midway Equalization

Non Uniformity Correction. Definition of s0 and s1 nonuniformity correction coefficients To improve accuracy, the camera measures the IR radiation from its own optics and then adjusts the image based on those readings Non-uniformity correction (NUC) is a process used in thermal imaging cameras to improve image quality by correcting pixel-to-pixel variations.

The judgment mechanism of algorithm convergence is introduced and a smoothing function is designed to << eliminate ghosting >> Hence, non uniformity correction includes both gain and offset correction

3. Top panel shows the correction of nonuniformity. From left to the

Its purpose is to alleviate the inherent non-uniformities in the captured thermal images Compared with other non-uniformity correction algorithms based on scene time-domain iteration, this algorithm can achieve non-uniformity correction under. The judgment mechanism of algorithm convergence is introduced and a smoothing function is designed to << eliminate ghosting >>

[PDF] Nonuniformity Correction of Infrared Images by Midway. NUC operations can be performed either internally or externally The judgment mechanism of algorithm convergence is introduced and a smoothing function is designed to << eliminate ghosting >>

Nonuniformity corrections process based on bright and dark uniform. However, these readings are only accurate if all pixels on the sensor are calibrated to read the same temperatures at the same value Several techniques are reported in the literature to correct the image through NUC techniques