A real-time deblurring method for intelligent internal rearview mirror based on neural network algorithm

Abstract

The invention discloses an intelligent internal rearview mirror real-time deblurring method based on a neural network algorithm. The invention collects the road traffic video to generate blurred frameand clear frame, then repeatedly trains the CNN deblurring neural network with time-space recursion to obtain the optimal deblurring model, then takes the video image of the rear pavement collected by the camera as the input, and the obtained output is the dynamic video after deblurring processing. The invention provides an intelligent inner rearview mirror realization replacing the traditional outer rearview mirror, which can reduce the wind resistance, eliminate the visual blind area of a large freight car, and is suitable for bad weather and the like. Compared with the traditional image processing method, the network generated by depth neural network has better effect of deblurring. Improve the traditional CNN deblurring architecture, put forward the idea of space-time recursion, without increasing network parameters to expand the network acceptance domain, so that the efficiency of deblurring is greatly improved, can achieve real-time, and achieve the same effect as the traditional rearview mirror.

Description

technical field [0001] The invention relates to the fields of computer vision, artificial intelligence and video image processing, in particular to a real-time deblurring method for an intelligent interior rearview mirror based on a neural network algorithm. Background technique [0002] Driving on rainy days often encounters that the glass on both sides of the car is almost covered by fog and water droplets, making it difficult to see the exterior rearview mirror. Using a camera to replace the traditional exterior rearview mirror solves this problem very well. And it is no longer necessary to put down the glass to wipe it manually, and it will not allow rainwater to enter the car. Using the camera as a substitute for the traditional optical mirror can provide a wider field of view, breadth and higher image clarity, and process the information of the image. At this point, it can be made richer and more comprehensive. of. [0003] For large trucks or off-road vehicles and S...

AI Technical Summary

Problems solved by technology

The solution of the present invention mainly solves two core problems, one is that due to the vibration of the vehicle body and the excessive speed of the vehicle, the video image displayed in the existing intelligent interior rearview mirror is dynamically blurred, which seriously affects the driving judgment of the driver, and there are also great problems. Unsafe; Second, the current dynamic video deblurring technology cannot achieve excellent real-time performance, and traditional deblurring and various traditional CNN deblurring methods are difficult to meet the requirements of cars driving at high speeds

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