Joint de-blurring and nonuniformity correction method for infrared microscopy imaging
Abstract
In this work, we present a new technique to simultaneously reduce two major degradation artifacts found in mid-wavelength infrared microscopy imagery, namely the inherent focal-plane array nonuniformity noise and the scene defocus presented due to the point spread function of the infrared microscope. We correct both nuisances using a novel, recursive method that combines the constant range nonuniformity correction algorithm with a frame-by-frame deconvolution approach. The ability of the method to jointly compensate for both nonuniformity noise and blur is demonstrated using two different real mid-wavelength infrared microscopic video sequences, which were captured from two microscopic living organisms using a Janos-Sofradir mid-wavelength infrared microscopy setup. The performance of the proposed method is assessed on real and simulated infrared data by computing the root mean-square error and the roughness-laplacian pattern index, which was specifically developed for the present work.
- Publication:
-
Infrared Physics and Technology
- Pub Date:
- May 2018
- DOI:
- 10.1016/j.infrared.2018.03.011
- Bibcode:
- 2018InPhT..90..199J
- Keywords:
-
- Infrared focal plane array;
- Image reconstruction-restoration;
- Nonuniformity correction;
- Deconvolution;
- Microscopy