A method and device for enhancing details of infrared imaging system by combining FPGA
By using the combined FPGA method in the infrared imaging system, infrared images are processed and fused in multiple steps, combined with adaptive optimization algorithms, the problems of poor details and noise in infrared image processing are solved, and efficient image detail enhancement and noise suppression effects are achieved.
CN119444592BActive Publication Date: 2025-03-18奥谱天成(湖南)信息科技有限公司
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Patent Information
- Application Number
- CN202510042231.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-10
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2045-01-10
AI Technical Summary
Technical Problem
The existing infrared imaging systems have problems such as poor detail resolution, low contrast, and noise in image processing, and the infrared image correction scheme based on FPGA is insufficient in noise resistance and limited in algorithm implementation.
Method used
The combined FPGA method is used to perform streak non-uniformity correction, denoising, frequency domain processing and fusion of multiple exposure images on infrared images, and to adaptively find the optimal solution with the stochastic gradient descent method to improve the adaptability to complex noise scenes.
Benefits of technology
It significantly improves the detail enhancement effect of infrared images, enhances resistance to noise, and achieves more efficient infrared image processing capabilities.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention discloses a method and device for enhancing the details of an infrared imaging system in combination with an FPGA. The method comprises: step 1, performing stripe non-uniformity correction on an infrared image at an FPGA level; step 2, performing denoising when a hardware analog signal is taken; step 3, performing short exposure to obtain a first infrared image; step 4, performing Fourier transform on the first infrared image obtained in step 3 to retain high frequencies; step 5, resetting the exposure value according to a judgment index to obtain a second infrared image; step 6, performing Fourier transform on the second infrared image obtained in step 5 to retain low frequencies; step 7, fusing the high frequency part of the first infrared image obtained in step 4 and the low frequency part of the second infrared image obtained in step 6; and step 8, performing detail enhancement on the digital image fused in step 7.
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