Super-resolution reconstruction network training method and device, electronic equipment and storage medium
A network training and super-resolution technology, applied in the field of image processing, can solve problems such as large amount of calculation, and achieve the effect of reducing the amount of calculation, improving the amount of calculation and high practical value
Active Publication Date: 2020-08-11
重庆紫光华山智安科技有限公司
View PDF6 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] In view of this, the purpose of this application is to provide a super-resolution reconstruction network training method and device, electronic equipment and storage media, so as to improve the problem of large amount of calculation existing in the existing super-resolution reconstruction technology
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0044] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is only a part of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.
[0045] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ord...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a super-resolution reconstruction network training method and device, electronic equipment and a storage medium, and relates to the technical field of image processing. In the present application, the method comprises the following steps: firstly, acquiring model training parameters pre-configured for a first neural network model and a plurality of target images for image super-resolution reconstruction training, wherein the first neural network model comprises a feature extraction sub-model, and the number of convolution kernels of multiple network layers included in the feature extraction sub-model is attenuated based on a preset exponential function in the image data transmission direction; and secondly, training the first neural network model through the model training parameters and the target image to obtain a second neural network model. By means of the method, the problem that in an existing super-resolution reconstruction technology, the calculated amount is large can be solved.
Description
technical field [0001] The present application relates to the technical field of image processing, in particular, to a super-resolution reconstruction network training method and device, electronic equipment, and a storage medium. Background technique [0002] Image super-resolution reconstruction technology refers to reconstructing corresponding high-resolution images from one or more low-resolution images. The specific technologies are mainly divided into two categories, one is to reconstruct a high-resolution image from a single low-resolution image; the other is to reconstruct a high-resolution image from multiple low-resolution images. [0003] Among them, the super-resolution reconstruction method based on deep learning is mainly based on a single image reconstruction method. Based on machine learning, it learns the mapping relationship between low-resolution and high-resolution images on a large amount of natural image data. [0004] The inventors found that in the ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06T3/40G06N3/04G06N3/08
CPCG06T3/4053G06T3/4046G06N3/08G06N3/045
Inventor 刘畅
Owner 重庆紫光华山智安科技有限公司