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A Method of Infrared Image Detail Enhancement and Noise Adaptive Suppression

An infrared image and noise suppression technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of difficult real-time hardware implementation, large amount of calculation, and poor image visual effect, and achieve easy hardware real-time implementation and noise suppression Strong effect, weak noise suppression effect

Active Publication Date: 2015-08-19
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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  • Application Information

AI Technical Summary

Problems solved by technology

The existing image detail enhancement algorithms have the following disadvantages: (1) Most of the existing image detail enhancement algorithms are only suitable for the original infrared image with high signal-to-noise ratio. As the signal-to-noise ratio of the original infrared image decreases, the enhanced image visual effect (2) Most of the existing noise suppression algorithms use the same filter parameters for noise suppression on the entire image, and do not use the local feature information of the image, resulting in the loss of noise suppression at the same time A large amount of image detail information; (3) Most of the existing image detail enhancement and noise adaptive suppression algorithms have a large amount of calculation and are not easy to implement in real time by hardware

Method used

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  • A Method of Infrared Image Detail Enhancement and Noise Adaptive Suppression

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Embodiment 1

[0057] to combine figure 1 In the following, an example is used to illustrate the new method of infrared image detail enhancement and noise adaptive suppression of the present invention. The number of pixels of the infrared image is 320×256, and the frame rate is 25HZ. The digital signal of the infrared thermal imager is transmitted to the special image processing board of the DSP+FPGA architecture through the optical fiber. The new method of infrared image detail enhancement and noise adaptive suppression is implemented in the DSP processor to meet the needs of real-time processing. The specific implementation steps are as follows:

[0058] (1) Acquire the original infrared image F org ;

[0059] Raw infrared image F org It is a 14-bit digital image. The digital signal of the infrared thermal imager is transmitted to the FPGA of the special image processing board through optical fiber packaging, and the FPGA completes the optical fiber unpacking and transmits the digital ...

Embodiment 2

[0088] In Figure 2, Figure 2a represents the original image, Figure 2b Indicates traditional image detail enhancement, Figure 2c It is the processing result of image detail enhancement and noise adaptive suppression method. The details of the original image are blurred; the traditional image detail enhancement algorithm enhances the image details, but the image noise is amplified; the image detail enhancement and noise adaptive suppression method effectively suppresses the point noise while enhancing the image details.

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Abstract

The invention discloses an infrared image detail enhancement and noise adaptive inhibition method. The method comprises the following steps of (1) acquiring an original infrared image Forg; (2) utilizing a differential operator to calculate a filter component Fd of the original infrared image; (3) calculating the background complexity of the original infrared image, and determining a noise inhibition threshold value T1; (4) calculating a region variance V of the original infrared image, performing binaryzation on a region variance image according to an initial threshold value T2, and utilizing a matrix BW to express the binarized image; (5) calculating a weighting matrix Coe of the filter component Fd; and (6) outputting a detail enhancement image Fout. Compared with the prior art, the infrared image detail enhancement and noise adaptive inhibition method has the following advantages that (1) the infrared image detail enhancement and noise adaptive inhibition method is particularly used for processing a signal-to-noise ratio image, and can effective inhibit the noise amplification of the image while the image detail is enhanced.

Description

technical field [0001] The invention relates to the field of infrared image processing, in particular to an image detail enhancement and noise adaptive suppression method suitable for hardware real-time implementation. Background technique [0002] In the process of infrared image capture, transmission and processing, due to the influence of light diffraction, poor focus, and relative movement of the scene and the imaging device, the image quality will inevitably decrease and the image will become blurred. In addition, the high-frequency performance of the electronic system is not good. It will also lose the high-frequency components of the image, making the image unclear. A large number of studies have shown that the mathematical model of the physical process of image blurring generally contains summation, average or integral operations. According to the process of image blurring, it can be known that using differential operation in the space domain or using the method of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 白俊奇赵春光翟尚礼王寿峰欧乐庆林学茅宁杰赵敏燕
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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