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Image restoration method and device, storage medium, and electronic equipment

An image and image feature technology, applied in the field of image processing, can solve the problems of low image restoration efficiency and large amount of calculation, and achieve the effect of improving efficiency and reducing the amount of calculation

Pending Publication Date: 2022-01-11
WUHAN TCL CORP RES CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, the deep learning network model used for image restoration requires a deeper network when processing more data, and the deep learning network model has a large amount of calculation, resulting in low efficiency of image restoration

Method used

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  • Image restoration method and device, storage medium, and electronic equipment
  • Image restoration method and device, storage medium, and electronic equipment
  • Image restoration method and device, storage medium, and electronic equipment

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Embodiment Construction

[0026] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0027] As used in this specification and the appended claims, the term "if" may be construed, depending on the context, as "when" or "once" or "in response to determining" or "in response to detecting ". Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be construed, depending on the context, to mean "once determined" or "in response to...

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Abstract

The invention is suitable for the technical field of image processing, and provides an image restoration method and device, a storage medium, and electronic equipment. The method comprises the following steps: obtaining a first image, wherein the first image is an image before image restoration; inputting the first image into an optimized enhanced depth super-resolution network model EDSR for processing, and outputting a second image, wherein the second image is an image after image restoration, the optimized enhanced depth super-resolution network model EDSR is used for improving the scale of image features and reducing the amount of computation, and a plurality of multi-scale convolutions included in a first residual module in the optimized enhanced depth super-resolution network model EDSR replaces a plurality of single-scale convolutions included in a second residual module in the pre-optimized enhanced depth super-resolution network model EDSR. According to the invention, the performance of the optimized enhanced depth super-resolution network model EDSR can be ensured, the amount of computation of image restoration is greatly reduced, and the efficiency of image restoration is improved.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to an image restoration method, device, storage medium and electronic equipment. Background technique [0002] Image restoration, also known as image restoration, aims to restore high-quality images from degraded images. Due to the limitation of hardware equipment and the noise in the environment during the shooting, transmission and reception of natural images, the visual effect of natural images is not ideal. The images presented are generally blurred and have noise pollution, making it difficult to obtain high-quality images , which cannot satisfy the rendering effect of images in real life. [0003] Due to the characteristics of automatic feature extraction of deep learning, as well as powerful computing power and generalization ability, deep learning methods have become mainstream methods in various fields of computer vision, especially in the fi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40
CPCG06T3/4053G06T3/4046G06T3/4007
Inventor 王树朋
Owner WUHAN TCL CORP RES CO LTD
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