Image super-resolution reconstruction method and device, storage medium and computer equipment

Abstract

The invention relates to an image super-resolution reconstruction method and device, a storage medium and computer equipment, and the method comprises the steps: carrying out the downsampling of a high-resolution image sample, obtaining a low-resolution image sample, and extracting the low-resolution image features of the low-resolution image sample through a first convolution module of a machinelearning model; enabling the second convolution module to perform multiple times of nonlinear mapping on the low-resolution image features to obtain high-resolution image features; constructing a high-resolution reference image according to the high-resolution image features; calculating a loss value between the high-resolution reference image and the high-resolution image sample; performing backpropagation on the loss value in a machine learning model to adjust model parameters of the machine learning model according to the loss value; acquiring the low-resolution image; and reconstructing the low-resolution image into the high-resolution image by using the machine learning model obtained after training. The problem of poor recognition effect caused by low resolution of the face image can be avoided.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image super-resolution reconstruction method, device, computer-readable storage medium and computer equipment. Background technique [0002] With the development of image processing technology, there are more and more application scenarios of face images, such as medical image analysis, computer vision, remote sensing, etc. People have higher and higher requirements for the resolution of face images, and the requirements for detail processing and high-frequency information processing of collected face images are becoming more and more strict. [0003] In the traditional method, in the field of face image acquisition and processing, due to reasons such as portable equipment, shooting technology or light environment, the resolution of the details of the collected face image is sometimes low, resulting in poor recognition effect of the collected face image. C...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide an image super-resolution reconstruction method, device, computer-readable storage medium and computer equipment for the technical problem that the recognition effect is poor due to the low resolution of the face image

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