Infrared image preprocessing method based on compressed sensing algorithm

Abstract

The invention discloses an infrared image preprocessing method based on the compressed sensing algorithm. The method comprises the steps of conducting primary processing on original infrared image information to obtain processed image information, generating a redundant dictionary according to the processed image information, conducting sparse representation on the processed image under the redundant dictionary by means of the orthogonal matching algorithm to obtain a sparse matrix of the processed image, training the redundant dictionary and the sparse matrix by means of the K-SVD algorithm to obtain a trained redundant dictionary and a trained sparse matrix, and obtaining a final infrared image signal through calculation according to the trained redundant dictionary and the trained sparse matrix. According to the method, the infrared image is preprocessed by means of the compressed sensing algorithm, and the signal to noise ratio of the processed infrared image is increased greatly.

Description

technical field [0001] The invention belongs to the field of infrared image preprocessing, in particular to an infrared image preprocessing method based on a compressed sensing algorithm. Background technique [0002] In recent decades, infrared thermal imaging technology has been highly valued and is developing at a high speed. So far, infrared imaging technology has played an irreplaceable role in both military applications and civilian applications. However, due to the uncertainty of the detection environment of the thermal imager and the unsatisfactory working state of the thermal imager itself, the captured infrared images cannot directly meet people's use requirements. In order to facilitate observation or provide prerequisites for subsequent target recognition and intelligent control, infrared images must first be preprocessed. [0003] In 2006, American scholars proposed the theory of compressive sensing, which completely broke the traditional concept of data sampl...

AI Technical Summary

Problems solved by technology

At present, compressive sensing algorithms have been applied in image fusion. For example, the patent application number 201210034662 proposes a region-based compressive sensing image fusion method, but this patent does not specifically target infrared images.

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