Time domain high-pass filtering method

Abstract

The invention discloses a time domain high-pass filtering method. The method includes the steps of carrying out preliminary filtering on an original infrared image by using a mask plate, obtaining a difference value of the two adjacent frames of infrared images after preliminary filtering to obtain a difference value image, carrying out bilateral filtering on the infrared image after preliminary filtering, obtaining a residual image after bilateral filtering, enabling the part with the gray value greater than a gray threshold value in the difference image to belong to a fast moving area, enabling the part, with the gray value smaller than or equal to the gray threshold value, of the difference image to belong to a slow moving area, determining correction items of the fast moving area and the slow moving area according to the residual image after bilateral filtering and different time constants, and correcting the original infrared image through the correction items to obtain a corrected infrared image. According to the invention, the non-uniformity of the infrared image is effectively reduced, the occurrence of ghost images is inhibited, and the correction effect is good.

Description

technical field [0001] The invention relates to the field of infrared image non-uniformity correction methods, in particular to an improved time-domain high-pass filtering method based on adjacent frame differences. Background technique [0002] Most of the current infrared imaging systems use infrared focal plane array as the core device. Because of its advantages of high detection sensitivity, small system size and compact structure, it is widely used in military and civilian fields. However, the non-uniformity of the infrared focal plane array affects the quality of the infrared image. Poor non-uniformity not only weakens the edge of the detected target in the infrared image, but also reduces the clarity of the image, and even causes image distortion in severe cases. The non-uniformity of infrared focal plane array hinders the further improvement of infrared image quality, and also limits the application and development of infrared imaging system to a certain extent. It i...

AI Technical Summary

Problems solved by technology

In the infrared image corrected by the BFTH algorithm, there are still residual non-uniform noises in the high-frequency region, which in turn produces "ghost images"

Although the WGTH algorithm can better solve the "ghost image" problem existing in the traditional time-domain high-pass filtering algorithm, the non-uniform noise cannot be completely removed.

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