Non-refrigeration infrared focus plane non-uniform correcting algorithm based on Wiener filter theory

Abstract

The disclosed correction algorithm based on Wiener filtering theory from in-depth analysis of random signal process theory. Under support of modern signal process technique (mainly, adaptive filtering technique), a structure of digital filter is constructed. The invention applies analysis of filter structure to issue of non-uniform correction of not refrigerative infrared focal plane. Advantages are: higher correction accuracy in real-time.

Description

Technical field [0001] The present invention relates to the correction technology of an uncooled infrared focal plane imaging system (IRFPA), in particular to the non-uniform correction technology of an uncooled infrared focal plane imaging system. Background technique [0002] For any object with a temperature above 0K, the molecules and atoms that make up the object are in vibration and rotation, and release electromagnetic waves to the outside space. Targets at different temperatures have different radiation wave strengths. The weak infrared rays are measured, and the objects are identified according to the intensity of the infrared rays to form an image. This is the principle of the uncooled infrared focal plane imaging system. [0003] The number of pixels is a key indicator of image quality. To get a clear image effect, an imaging array composed of many detection elements is needed. Due to technological reasons, the output results of each detector for the same intensity of ...

AI Technical Summary

Problems solved by technology

Although many kinds of correction algorithms have been proposed, they are either too simple and the correction effect is not ideal (such as two-point correction), or they are too complex and have a large amount of calculation to achieve real-time performance, so they all have some shortcomings.

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