Infrared image enhancement method, device and equipment and computer readable medium

Abstract

The invention discloses an infrared image enhancement method, device and equipment and a computer readable medium. The infrared image enhancement method comprises the following steps: acquiring an original infrared image; extracting high-frequency information and low-frequency information in the original infrared image; calculating an adaptive gain coefficient of the original infrared image according to the local average variance and the global average value of the original infrared image; enhancing the high-frequency information by using an adaptive gain coefficient, and synthesizing a preliminary enhanced image according to the low-frequency information and the enhanced high-frequency information; and carrying out filtering processing on the preliminary enhanced image to obtain an output enhanced image. According to the method, the adaptive gain coefficient is calculated by adopting simple local mean variance and global mean square error, and the enhanced image is synthesized by utilizing the adaptive gain coefficient, so that compared with an image enhancement algorithm of a spatial domain and a frequency domain in the prior art, the method has the advantages of small calculation amount, simple algorithm, good real-time performance, wider application range and contribution to practical engineering application.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an infrared image enhancement method, device, equipment and computer-readable medium. Background technique [0002] Nowadays, infrared imaging technology has been widely used in medical, transportation, military and other fields. However, due to the inhomogeneity of the photosensitive response of infrared detection devices, the nonlinearity of the system, and the interference of the external environment, the acquired infrared images are prone to appear Low contrast, insufficient resolution, large background noise, blurred target edges and unclear texture details, so it is necessary to enhance the infrared image to improve the visual quality of the image. [0003] In the prior art, infrared image enhancement can be divided into two categories: spatial domain methods and frequency domain methods. Among them, the space domain method is also called the image space method. ...

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Problems solved by technology

[0004] However, the above two commonly used methods have their own advantages and disadvantages. For the spatial domain method, the distance is used as the independent variable to process the pixel value, and the calculation amount is small, and the real-time performance is good, but the ability to distinguish image details is poor.

The frequency domain method performs complex calculation and processing on the image with the frequency as the independent variable, and has excellent frequency processing ability, but the calculation amount is large and the real-time performance is poor.

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