Automatic rain removing method for images shot by vehicle-mounted camera

Abstract

According to the automatic rain removing method for the vehicle-mounted camera photographed image, raindrops are regarded as noise, firstly, a network model with input and output being images at different moments in the same rainy day scene is established, and rainy day noise distribution is obtained through the network model; and processing the rainy day image through a denoising network to obtain a rain-free effect picture. According to the invention, training is carried out on the basis that input and output are samples of rainy day images at different moments in the same scene, so that rainy day noise distribution is obtained, and rain removal processing is carried out on the rainy day images with the rainy day noise distribution. Thus, according to the invention, the training of the model does not need a clean rain-free image, the data processing difficulty is simplified, the feasibility is improved, and the accuracy degree of data processing is ensured.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for automatically removing rain from images captured by a vehicle-mounted camera. Background technique [0002] At present, in the field of on-board camera photography and unmanned driving assistance system design, it is very difficult to analyze and process photography in rainy weather. Heavy rain often leads to blurred photography or heavy rain information interference, causing errors in the computer analysis system, and then malfunctions, increasing the risk of car accidents. For the removal of heavy rain in photos or videos, there is currently no mature solution. How to restore photos in a heavy rain environment to a rain-free environment will be crucial for vehicle-mounted photo analysis and driverless auxiliary analysis systems. Contents of the invention [0003] Based on the technical problems existing in the background technology, the present invention...

AI Technical Summary

Problems solved by technology

[0002] At present, in the field of on-board camera photography and unmanned driving assistance system design, it is very difficult to analyze and process photography in rainy weather. Heavy rain often leads to blurred photography or heavy rain information interference, resulting in errors in the computer analysis system, which in turn cause malfunctions and increase the risk of car accidents.

For the removal of heavy rain in photos or videos, there is currently no mature solution. How to restore photos in a heavy rain environment to a rain-free environment will be crucial for vehicle-mounted photo analysis and driverless auxiliary analysis systems.

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