Image restoration method, device and electronic equipment
A restoration method and image technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as difficult to meet user's demand for image restoration effect, and limited restoration effect, so as to improve image restoration effect and improve image restoration effect , Overcoming the effect of less dimensionality in image restoration
Active Publication Date: 2022-06-24
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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Problems solved by technology
[0003] With the development of computer technology, there are more and more demands for image restoration in various fields. However, the current image restoration technology has limited restoration effects, and it is often difficult to meet the needs of users for image restoration effects.
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[0049] Exemplary embodiments of the present application are described below with reference to the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.
[0050] Embodiments of the present application first provide an image restoration method, such as figure 1 shown, including:
[0051] Step S11 : using the encoding layer of the first convolutional neural network to encode the image to be repaired to obtain a first high-dimensional hidden layer vector.
[0052] Step S12: Decoding the first high-dimensional hidde...
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The application discloses an image restoration method and device, which relate to the field of computer technology, and in particular to image processing. The specific implementation scheme is: using the encoding layer of the first convolutional neural network to encode the image to be repaired to obtain the first high-dimensional hidden layer vector; using the decoding layer of the first convolutional neural network to decode the first high-dimensional hidden layer vector , obtain the second high-dimensional hidden layer vector; add the second high-dimensional hidden layer vector to the third high-dimensional hidden layer vector, and use the decoding layer of the second convolutional neural network to decode the third high-dimensional hidden layer vector to obtain the fourth high-dimensional hidden layer vector; the third high-dimensional hidden layer vector is obtained by encoding the image to be repaired by the coding layer of the second convolutional neural network; according to the fourth high-dimensional hidden layer vector, the repaired image is obtained. The embodiments of the present application can improve the accuracy of image restoration.
Description
technical field [0001] The present application relates to the field of computer technology, and in particular, to the field of image processing, and provides an image restoration method, apparatus, and electronic device. Background technique [0002] Image inpainting is a technique for synthesizing semantically correct, realistic-looking content in a missing image. Image inpainting techniques are widely used and can often be used to remove unwanted objects from images and repair damaged parts of images. [0003] With the development of computer technology, there are more and more needs for image restoration in various fields. However, the current image restoration technology has limited restoration effect, and it is often difficult to meet the needs of users for image restoration effect. SUMMARY OF THE INVENTION [0004] In order to solve at least one problem in the prior art, the present application provides an image restoration method and apparatus. [0005] In a first...
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IPC IPC(8): G06T5/00G06N3/04
CPCG06N3/045G06T5/77
Inventor 朱曼瑜刘霄文石磊张赫男
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD