Abstract: An interframe registration and adaptive step size-based non-uniformity correction method for an infrared image, comprising: first calculating a normalized cross-power spectrum of n-th and (n?1)-th original infrared images with the non-uniformity, and then calculating a horizontal relative displacement and a vertical relative displacement of the n-th and (n?1)-th original infrared images with the non-uniformity; calculating a space variance and a time variance of each pixel of the n-th original infrared image with the non-uniformity, using the obtained space variance and time variance to calculate an adaptive iterative step size of each pixel of the n-th original infrared image with the non-uniformity, and using the iterative step size to update a gain correction coefficient and a bias correction coefficient; finally, performing non-uniformity correction on the pixel in an overlapping area of the n-th and (n?1)-th original infrared images with the non-uniformity.

Abstract: An interframe registration and adaptive step size-based non-uniformity correction method for an infrared image, comprising: first calculating a normalized cross-power spectrum of n-th and (n?1)-th original infrared images with the non-uniformity, and then calculating a horizontal relative displacement and a vertical relative displacement of the n-th and (n?1)-th original infrared images with the non-uniformity; calculating a space variance and a time variance of each pixel of the n-th original infrared image with the non-uniformity, using the obtained space variance and time variance to calculate an adaptive iterative step size of each pixel of the n-th original infrared image with the non-uniformity, and using the iterative step size to update a gain correction coefficient and a bias correction coefficient; finally, performing non-uniformity correction on the pixel in an overlapping area of the n-th and (n?1)-th original infrared images with the non-uniformity.

Abstract: A non-uniformity correction method for an infrared image based on guided and high-pass filtering includes: assigning high-frequency component of first image frame of original image sequence to first fixed pattern noise f1; successively loading N-th image frame of the original image sequence with non-uniformity as current image frame, determining a difference between the current image frame and (N?1)-th image frame to obtain (N?1)-th differential image frame, and obtaining a relative change amplitude of each image element of (N?1)-th image frame according to the (N?1)-th differential image frame; and performing high-pass filtering based on a combination of a high-frequency component of the current image frame obtained through guided filtering and the relative change amplitude to obtain n-th fixed pattern noise fn, and performing non-uniformity correction on the current image frame according to fn to obtain a correction result of the current image frame, where N?2, n?2.

Abstract: A non-uniformity correction method for an infrared image based on guided and high-pass filtering includes: assigning high-frequency component of first image frame of original image sequence to first fixed pattern noise f1; successively loading N-th image frame of the original image sequence with non-uniformity as current image frame, determining a difference between the current image frame and (N-1)-th image frame to obtain (N-1)-th differential image frame, and obtaining a relative change amplitude of each image element of (N-1)-th image frame according to the (N-1)-th differential image frame; and performing high-pass filtering based on a combination of a high-frequency component of the current image frame obtained through guided filtering and the relative change amplitude to obtain n-th fixed pattern noise fn, and performing non-uniformity correction on the current image frame according to fn to obtain a correction result of the current image frame, where N?2, n?2.