ADMIRE: a locally adaptive single-image, non-uniformity correction and denoising algorithm: application to uncooled IR camera
This method addresses image quality issues for users of uncooled IR cameras, offering a low-cost, calibration-free solution, though it appears incremental as it builds on existing denoising techniques.
The authors tackled the problem of correcting non-uniformity and noise in uncooled infrared images with a static, single-image method that requires no registration or camera motion, achieving efficient correction without ghost artifacts.
We propose a new way to correct for the non-uniformity (NU) and the noise in uncooled infrared-type images. This method works on static images, needs no registration, no camera motion and no model for the non uniformity. The proposed method uses an hybrid scheme including an automatic locally-adaptive contrast adjustment and a state-of-the-art image denoising method. It permits to correct for a fully non-linear NU and the noise efficiently using only one image. We compared it with total variation on real raw and simulated NU infrared images. The strength of this approach lies in its simplicity, low computational cost. It needs no test-pattern or calibration and produces no "ghost-artefact".