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Image restoration method and device, storage medium and terminal

A restoration method and image technology, applied in the field of image processing

Pending Publication Date: 2021-10-29
SHANGHAI HARVEST INTELLIGENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is to provide an improved image restoration method to improve the restoration quality when performing image restoration based on machine learning

Method used

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

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Embodiment Construction

[0035] As mentioned in the background art, the existing fingerprint collection solutions generally need to perform restoration operations on the collected images at a later stage.

[0036] An intuitive way of thinking is to image multiple times, complement each other, and combine the collected images to obtain a complete image. However, in practical applications, the unlocking time of mobile phone fingerprints is very short, and the solution of multiple imaging has very high requirements on the processing speed of mobile phone hardware, which will increase the system cost.

[0037] In order to solve the above technical problems, an embodiment of the present invention provides an image repair method, including: acquiring an image to be processed, the image containing biometric information; inputting the image to be processed into a generator, the generator includes A neural network model of a multi-layer convolution layer, the multi-layer convolution layer has a connection rela...

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Abstract

The invention discloses an image restoration method and device, a storage medium and a terminal, and the method comprises the steps: obtaining a to-be-processed image which comprises biological feature information; inputting the to-be-processed image into a generator, wherein the generator comprises a neural network model with multiple convolution layers, the multiple convolution layers have a connection relation, and the weight of a convolution kernel of the generator is at least determined according to the historical image restoration quality of the generator; and obtaining the restored image output by the generator. Through the scheme provided by the invention, the restoration quality during image restoration based on machine learning can be effectively improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image restoration method and device, a storage medium, and a terminal. Background technique [0002] In the prior art, when using the principle of total reflection imaging to realize optical fingerprint imaging under the screen, if the imaging of the fingerprint on the sensor happens to fall into the signal saturation region of the sensor, the texture information of the fingerprint will be lost. On the other hand, as the incident angle of light increases, the transmission path of light carrying fingerprint information to the sensor will also increase accordingly, resulting in the weakening of the light signal when the sensor actually receives light. When the incident angle increases to a certain value When , the signal-to-noise ratio of the optical signal received by the sensor is too small, resulting in the inability to detect a clear fingerprint image. [0...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06N3/04G06N3/08
CPCG06N3/08G06T2207/10004G06N3/045G06T5/77G06T2207/20081G06T2207/20084G06T2207/30088G06T2207/30168G06T2207/30196G06V40/1347G06V10/82G06T5/60G06T5/00G06T5/80G06T5/92
Inventor 夏川
Owner SHANGHAI HARVEST INTELLIGENCE TECH CO LTD