Non-uniformity correction method and device based on local statistical correlation

Abstract

The invention discloses a non-uniformity correction method and a device based on local statistical correlation. The non-uniformity correction method based on local statistical correlation comprises steps: F frames of images are acquired continuously; the acquired F frames of images are calibrated; the mean value of the F frames of calibrated images is calculated recursively to obtain a mean value image; the mean value image is subjected to mean value filtering to obtain an image after filtering; and subtraction between the image after filtering and the mean value image is carried out to obtain a correction coefficient matrix. The invention also discloses a non-uniformity correction device based on the local statistical correlation.

Description

technical field [0001] The invention relates to the field of infrared focal plane detection, in particular to a non-uniformity correction method and device based on local statistical correlation. Background technique [0002] Infrared focal plane detectors are often used in military and civilian fields. Non-uniform noise, also known as fixed-pattern noise, is caused by the non-uniformity of the radiation response of pixels. Removing non-uniform noise is of great significance to improve image quality and subsequent data processing accuracy. Therefore, it is necessary to study high-precision non-uniform correction algorithms. [0003] The two-point correction method is the most commonly used method to remove non-uniform noise. Because the radiation response of the detector drifts with time, the correction accuracy of the method with pre-stored correction coefficient matrix decreases with time. In engineering, a uniform radiation source is often inserted into the optical sy...

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