Pretreatment method for decomposed and reconstituted infrared small targets based on singular values

Abstract

The invention discloses a pretreatment method for decomposed, reconstituted and strengthened infrared small targets based on singular values. The method comprises the following steps: conducting singular value decomposition (SVD) on the inputted image to obtain the singular values of the image; analyzing and estimating singular value curves of the image to obtain prediction curves of the singularvalues, subtracting the obtained prediction curves of the singular values and the original singular value curves to obtain the differential singular value curves, and conducting normalization on the differential singular value curves to obtain differential percentage curves of the singular values; and reconstituting the image after singular value decomposition (SVD) based on the differential percentage curves of the singular values to obtain the strengthened infrared small target image. By using the method of the invention, the signal-to-noise ratio of the image can be well improved, background clutters can be suppressed, and the effect of the method is superior to that of the other methods at present.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a preprocessing method for small infrared targets in complex backgrounds. It improves the signal-to-noise ratio of the image and suppresses background clutter for situations such as low signal-to-noise ratio and background clutter of small infrared targets under long-distance monitoring. Background technique [0002] In today's world with the rapid development of high-tech weapons, various weapon systems based on infrared detection have become one of the key research and development projects in all countries in the world. Infrared imaging target detection and tracking technology has always been a technical difficulty and an urgent problem to be solved in the infrared imaging system. Therefore, improving the detection ability of the target and obtaining relevant information of the incoming target as early as possible is of great significance for improving the...

AI Technical Summary

Problems solved by technology

However, since the general target extraction algorithm can achieve better performance only when the SNR is high, it is not stable for low SNR images, which may directly affect the subsequent processing, so the front-end robust pre-processing The processing algorithm is very important for the DBT detection algorithm

At present, the preprocessing methods of infrared small targets can be roughly divided into spatial domain filtering and frequency domain filtering preprocessing, but each method is not very adaptable, and can only obtain better results for small infrared target images under certain circumstances.

The present invention aims at the lack of a current situation that can well process infrared small target images under different backgrounds under the same framework, and proposes a small infrared target preprocessing method based on SVD (singular value decomposition) decomposition and reconstruction. Preprocessing to steadily improve the signal-to-noise ratio of the image, so that the accurate detection of the target can be achieved in the subsequent processing

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