License plate image processing method based on attention mechanism

Abstract

The invention belongs to the technical field of image processing, and relates to a license plate image processing method based on an attention mechanism, which comprises the following steps of: enlarging a receptive field by using convolution kernels of different sizes, processing features by using instance standardization, and recalibrating a mean value and a variance of the image features under the condition of not being influenced by the batch processing size; a cross-stage attention module is designed between different stages, and multi-scale residual features of the previous and later stages are fused, so that the loss of the features during transmission can be made up, more valuable image features can be amplified, the network gradually pays attention to feature information facilitating deblurring in the training process, and the deblurring efficiency is improved. Meanwhile, a local attention mechanism is used in the stage, network learning is assisted for deblurring, an energy loss function is improved, the overall training effect of a network model is improved, and a good effect is achieved in the aspect of reconstructing a clear license plate image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a license plate image processing method based on an attention mechanism. Background technique [0002] The deblurring of license plate images is to remove the blur in the license plate images through algorithms, which belongs to one of the image restoration tasks. Image restoration technology is the underlying task of computer vision and the basis of tasks such as image and video recognition. It is widely used in traffic monitoring, medical detection and radar remote sensing and other scenarios. [0003] At present, the deep learning method based on convolutional neural network is mainly used in the process of repairing the blurred license plate image. First, by deepening the network layer or stacking multiple networks, the clear image is gradually restored, and then the feature extraction module is used to extract the image features. , and finally the network is deepened...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art, and to design and provide a license plate image processing method based on the attention mechanism, which is used to solve the problem that the captured license plate image is blurred and cannot be recognized later, and can effectively realize the license plate image processing method. Deblurring

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