Scene-based nonuniformity correction algorithm based on interframe registration

Abstract

In this paper, we present a simple and effective scene-based nonuniformity correction (NUC) method for infrared focal plane arrays based on interframe registration. This method estimates the global translation between two adjacent frames and minimizes the mean square error between the two properly registered images to make any two detectors with the same scene produce the same output value. In this way, the accumulation of the registration error can be avoided and the NUC can be achieved. The advantages of the proposed algorithm lie in its low computational complexity and storage requirements and ability to capture temporal drifts in the nonuniformity parameters. The performance of the proposed technique is thoroughly studied with infrared image sequences with simulated nonuniformity and infrared imagery with real nonuniformity. It shows a significantly fast and reliable fixed-pattern noise reduction and obtains an effective frame-by-frame adaptive estimation of each detector's gain and offset.

Scene-based non-uniformity correction: From algorithm to implementation on a smart camera

“…As defined in [36], the algebraic techniques make use of global motion between the frames in the video sequence and attempt to compensate for the non-uniformity by means of algebraic methods without making statistical assumptions about the FPN [37,38,39]. Such approaches aim at analyzing the values of nearby pixels in order to separate the scene from the noise.…”

Scene-based Nonuniformity Correction Algorithm Based on Temporal Median Filter

“…As an evaluation criterion of correction performance, the Root Mean Square Error (RMSE) [8] is used to measure the difference between the true infrared image and the corrected image. Smaller values for the RMSE indicate better performance.…”

“…However, it is proved in reference [2] that the CS algorithm with appropriate coefficient has faster convergence rate and better performance than the LMS algorithm. Registration methods are proposed in [7,8]. But they all need complex registration algorithms and cannot work well when the nonuniformity is serious.…”

Nonuniformity correction scheme considering the effects of internal thermal stray light

“…As a solution for the above problem, scene-based nonuniformity correction (SBNUC), [6][7][8][9][10][11] which has the advantage of NUC without interruption of IR camera operation by utilizing characteristics of the image, has been studied. SBNUC updates the NUC parameters iteratively through computation by utilizing the image's statistics, differences between currently inputted image frames, and the movements of the IR camera.…”