Due to the advantages of high throughput, low latency, and low power consumption, optical neural networks hold great promise in addressing the challenges of energy consumption and computational efficiency faced by current artificial intelligence technologies. Consequently, they have become a research hotspot in both academia and industry in recent years. The goal of optical neural networks is to use photons as the physical carrier to construct the basic computational units of artificial neural network algorithms, thus achieving high-performance novel computing architectures and applying them to solve practical problems. This paper introduces the working principles and characteristics of optical neural networks and discusses relevant research on target recognition based on optical neural network architectures.
With the development of infrared detector technology, Infrared imaging technology has gained more attention and application. The paper designs a set of FPGA-based Cameralink infrared image data acquisition system for the infrared imaging device of a high-speed aircraft, It has been programmed and simulated for signal timing and image data processing, the output serial LVDS infrared image data has been converted to Cameralink standard protocol data, and finally the real-time images have been displayed in the host computer software. The infrared image acquisition and processing system has been applied to actual project, it performs stably and favourable.
Aiming at the problems of polarization imaging detection technology in image fusion, an improved image fusion method based on traditional wavelet decomposition is proposed. Firstly, the fusion method of wavelet function and wavelet decomposition is analyzed. Secondly, the problems in the fusion method are improved from wavelet base and filtering and denoising. In order to verify the effectiveness of the improved method, the real images is used for image fusion, and the fusion and improvement results are evaluated by using information entropy and edge definition. The results show that the improved image fusion method significantly improves the sharpness of the fused image, and the high frequency loss is suppressed to a certain extent.
A simplified mathematical model was proposed to describe the relationship between image quality and temperature
gradient. It can be used to determine the maximal allowable temperature gradient in which optical system was
applicable, as well as the applicability of optical system in given temperature gradient condition. Firstly, under some
assumption conditions, the thermal deformation of optical surface and refractive index distribution caused by
temperature gradient distribution were analyzed, and a simplified mathematical model was built to describe the impact of
radial temperature gradient on optical parameters. Secondly, the model was validated by using finite element analysis
software analyze an infrared lens. Finally, an application example was given. The image quality of a refractive infrared
optical system in thermal environment with radial temperature gradient was analyzed by using the mathematical model
proposed above and optical design software.
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