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Image restoration method and device, electronic device and storage medium

An image and sub-image technology, applied in the fields of image restoration methods and devices, electronic equipment, and storage media, can solve problems such as slow image restoration speed

Active Publication Date: 2019-06-14
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the non-uniform distribution of image content and distortion, complex calculations are also performed for some simple areas, resulting in slower image restoration

Method used

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

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Experimental program
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Embodiment 1

[0079] The present disclosure provides an image restoration method. figure 1 A schematic flowchart of an image restoration method provided by an embodiment of the present disclosure, as shown in figure 1 As shown, the above-mentioned image restoration method may include:

[0080] S101: Divide the acquired image into regions to obtain more than one sub-image;

[0081] At present, due to image distortion caused by camera exposure noise, out-of-focus blur, and image compression, it is necessary to restore the image. However, since the image degradation process may contain various distortions, the type and degree of distortion vary There are differences between the images, then, if all regions of each image are processed in the same way with a deep neural network, the speed of image restoration will be affected.

[0082] In order to increase the speed of image restoration, first, after the image is acquired, the image is divided into regions to obtain more than one sub-image.

...

Embodiment 2

[0149] Figure 6 It is a schematic structural diagram of an image restoration device provided by an embodiment of the present disclosure. Such as Figure 6 As shown, the image restoration device includes:

[0150] A division module 61, configured to divide the acquired image into regions to obtain more than one sub-image;

[0151] The restoration module 62 is configured to input each sub-image into the multi-path neural network, restore each sub-image by using the restoration network determined for each sub-image, and output a restored image of each sub-image to obtain a restored image of the image.

[0152] Optionally, the recovery module 62 includes:

[0153] An encoding sub-module is used to encode each sub-image to obtain the characteristics of each sub-image;

[0154] The restoration sub-module is used to input the feature of each sub-image into the sub-network of the multi-path neural network, adopt the path selection network in the sub-network, select the restoratio...

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Abstract

The embodiment of the invention discloses an image restoration method. The method comprises the following steps of carrying out region division on an acquired image to obtain more than one sub-image,inputting each sub-image into a multi-path neural network, restoring each sub-image by adopting a restoration network determined for each sub-image, and outputting the restored image of each sub-imageto obtain a restored image of the image. By implementing the scheme, the image restoration speed is increased.

Description

technical field [0001] The present disclosure relates to the technical field of image restoration, and in particular, to an image restoration method and device, electronic equipment, and a storage medium. Background technique [0002] Image restoration is the process of reconstructing or restoring a degraded image through computer processing; there are many reasons for image degradation, such as camera exposure noise, out-of-focus blur, distortion caused by image compression, etc.; The restoration problem is very complicated, because the image degradation process may contain various distortions of different degrees, and the type and degree of distortion vary from image to image, and are not evenly distributed even in the same image; for example, exposure noise in The dark parts of the image are relatively large, and the bright parts of the image are relatively small. [0003] Usually, in image restoration, the same processing is performed on all regions of each image; in or...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T3/40
CPCG06T2207/20012G06T2207/20021G06T2207/20084G06T2207/20081G06T5/70G06T5/60G06T3/40G06N3/082G06N3/04G06T5/00
Inventor 余可王鑫涛董超汤晓鸥吕健勤
Owner BEIJING SENSETIME TECH DEV CO LTD
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