Infrared image super-resolution method based on edge sharpening

An infrared image and super-resolution technology, which is applied in the field of infrared image super-resolution algorithm in the field of digital imaging technology, can solve the problems of large infrared image noise, low output image quality, and inability to guarantee the accuracy of estimation, etc., to improve details, The effect of visual enhancement
CN110852947AActive Publication Date: 2020-02-28ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2020-02-28

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Abstract

The invention discloses an infrared image super-resolution method based on edge sharpening. An infrared camera is used for obtaining an infrared image, an infrared super-resolution neural network structure is established, a network comprises an image processing sub-network and an image edge processing sub-network; for the infrared image input into the network, the image processing network is mainly used for recovering structure information of the image, and the edge processing network is used for recovering detail edge information of the image; the image processing network is divided into twostages; in the first stage, infrared image denoising and image structure information recovery are realized, and in the second stage, image super-resolution and more image detail structure informationrecovery are realized. Based on the requirement of digital infrared image super-resolution, high-magnification infrared image super-resolution is realized through respective processing of an image structure and edge information.
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Description

technical field

[0001] The invention belongs to an infrared image super-resolution algorithm in the technical field of digital imaging, and in particular relates to an infrared image super-resolution method based on edge sharpening.

[0002] technical background

[0003] With the development of infrared detection technology, infrared imaging technology is used for target recognition to improve the intelligent detection and detection and recognition capabilities of targets. The output quality is not good, which reduces the recognition and detection ability of the target single-frame infrared image.

[0004] A high-resolution image can provide more detail than its low-resolution counterpart. These details should be critical in all areas. Due to the limitations of hardware devices, super-resolution has been widely used in many imaging devices. Super-resolution is the digital magnification of an image without changing the focal length of the lens, thus resulting in a loss of i...

Claims

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