A real-time video image enhancement method and high-speed camera system

Abstract

The invention discloses a real-time video image enhancement method and a high-speed camera system. The method includes: obtaining the grayscale image of the high-speed camera output image in real time, its average grayscale value and pixel bit width; setting the illuminance judgment threshold based on the pixel bit width and constructing a grayscale distribution table; based on the average grayscale value and the illuminance judgment threshold to obtain Illumination scene and fusion coefficient; based on the fusion coefficient, the gray distribution table and the first mapping table are fused to obtain the second mapping table; the gray value of the pixel in the gray image is replaced by the gray value in the second mapping table The mapping value of , to obtain the enhanced image. Automatically identify the illuminance scene of the image to be processed, and adaptively set the second mapping table according to the illuminance scene and the image to be processed, without human participation; realize the direct transformation of the gray value of the gray image to the gray value one by one, without step by step Point operation, synchronous processing of pixels with the same gray value is completed, the amount of calculation is small, and the real-time performance is good.

Description

technical field [0001] The invention relates to an image enhancement algorithm, in particular to a real-time video image enhancement method and a high-speed camera system. Background technique [0002] With the improvement of integrated circuit technology level and sensor production level, ultra-high-speed imaging cameras are developing rapidly at present. Ultra-high-speed imaging technology can record instantaneous changes that cannot be distinguished by the naked eye, making high-speed cameras have broad application scenarios in fields such as vehicle detection, collision testing, scientific experiments, sports competitions, and military affairs. High-speed cameras have the characteristics of high frame rate, short exposure time and high transmission bandwidth. The frame rate of general high-speed cameras: 1,000 to 10,000 frames per second, and the frame rate of military high-speed cameras: up to one million to ten million frames / second, the frame rate of ultra-high-spe...

AI Technical Summary

Problems solved by technology

Although this type of algorithm can ensure the real-time performance of image enhancement processing, it generally requires manual setting of parameters to adapt to the scene. Once it does not adapt to the scene, it will face image distortion.

In addition, although the low-illuminance enhancement method based on the dehazing algorithm has a good enhancement effect, because the general dehazing algorithm contains local correlation operations and division operations, it needs to perform calculations and calculations pixel by pixel. Real-time requirements for camera image processing

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