Non Uniformity Correction Algorithm for Large Format Shortwave Infrared Imaging Array

Abstract

Preprocessing is an important field of research in optoelectronics where raw images captured from infrared (IR) imaging array are tuned by applying various algorithms. Common image preprocessing in infrared imaging are: i) Non-Uniformity Correction (NUC), ii) Bad Pixel Replacement (BPR). Non-Uniformity (NU) arises because of each individual pixel in large format detector array has unequal photo-response from its adjacent pixel even if the both pixels are illuminated by equal luminance. This NU can be corrected by applying different NU Correction algorithms. In this paper, Two Pont NUC algorithm is designed in LabVIEW tool to reduce spatial noise or Fixed Pattern Noise. This algorithm has been tested on raw data acquired from Shortwave Infrared (SWIR) linear detector which has 6000 pixel elements. The result shows that pixel’s non-uniformity reduces after applying two-point correction algorithm.
DOI: 10.17762/ijritcc2321-8169.150530