A multi-scale face image deblurring algorithm based on separation of low frequency and high frequency

A face image, multi-scale technology, applied in image enhancement, image data processing, computing and other directions, can solve the problems of limited help of face deblurring algorithms, insufficient use of features, and insufficient feature extraction, and achieve rich details. , Enhanced effect, structure and detail complete effect

A face image, multi-scale technology, applied in image enhancement, image data processing, computing and other directions, can solve the problems of limited help of face deblurring algorithms, insufficient use of features, and insufficient feature extraction, and achieve rich details. , Enhanced effect, structure and detail complete effect

CN109903237AActive Publication Date: 2019-06-18FUDAN UNIV
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  • A multi-scale face image deblurring algorithm based on separation of low frequency and high frequency
  • A multi-scale face image deblurring algorithm based on separation of low frequency and high frequency
  • A multi-scale face image deblurring algorithm based on separation of low frequency and high frequency

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Embodiment Construction

[0040] For a blurred face picture, to deblur it, you can use figure 1 The method described is implemented.

[0041] The specific process is:

[0042] 1. Training

[0043] (1) Use the pre-processing network to simultaneously generate low-frequency information and semantic segmentation of pictures

[0044] Simultaneously fit low-frequency information and semantic segmentation using a pre-processing network. The weighted pre-training pre-processing network using semantic segmentation and low-frequency information loss function;

[0045] (2) Using multi-scale networks to restore clear pictures

[0046] The semantic segmentation, low-frequency information, and blurred images generated by the pre-processing network are input into the multi-scale network for deblurring. The loss function is multi-scale content loss;

[0047] (3) Joint high-level task training

[0048] The pre-processing network and the multi-scale network are collectively referred to as the deblurring network. ...

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Abstract

The invention belongs to the technical field of digital image intelligent processing, and particularly relates to a multi-scale face image deblurring algorithm based on separation of low frequency andhigh frequency. The algorithm comprises the steps that a preprocessing network is used, and low-frequency information and semantic segmentation of a face image are recovered at the same time; Then the generated low-frequency information, semantic segmentation and fuzzy picture splicing are input into a subsequent multi-scale network to recover a clear picture; And finally, the deblurring network(a pre-processing network and a multi-scale network) and a high-level task are jointly trained, so that a clear picture generated by deblurring can be better expressed on the recognition of equal-level tasks. Experimental results show that the restored clear picture is very complete in structure and details, and meanwhile, the restored clear picture contains richer perceptual information through combination with a high-level task, so that the effect of the high-level task is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of digital image intelligent processing, and specifically relates to a face image deblurring algorithm, more specifically, relates to a multi-scale face image deblurring algorithm based on separating low and high frequencies. Background technique [0002] In recent years, with the popularity of mobile devices, taking pictures has become an indispensable part of daily life. However, holding mobile devices such as mobile phones will inevitably cause shaking when taking pictures, which will lead to motion blur in the image, especially in low-light scenes, which require a longer exposure time. Motion blur can have a severe impact on high-level tasks. Taking the face image as an example, blurring the face will cause difficulties in face recognition and face key point detection. Face image deblurring, which can deblur the blurred face image and restore the structure and details of the face. It plays an importan...

Claims

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Application Information

Patent Timeline
18 Jun 2019
Publication
CN109903237A
IPC
G06T5/00; G06K9/00
Inventors
颜波; 李昂