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Image deblurring method based on depth features

A deep feature and deblurring technology, applied in image enhancement, image data processing, neural learning methods, etc., can solve problems such as noise information ringing effect, and achieve the effect of suppressing ringing effect, facilitating feature extraction, and speeding up processing speed.

Pending Publication Date: 2022-04-12
XIAN TECHNOLOGICAL UNIV
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Problems solved by technology

[0004] In view of the above existing problems, the present invention provides an image deblurring method based on depth features to overcome the problems of noise information and serious ringing effect existing in the existing blurred image restoration technology

Method used

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  • Image deblurring method based on depth features
  • Image deblurring method based on depth features
  • Image deblurring method based on depth features

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Embodiment Construction

[0040] The present invention is further described in detail through specific implementation methods and accompanying drawings.

[0041] Such as figure 1 As shown, an image deblurring method based on depth features includes the following steps in turn:

[0042] Step 1. Fuzzy image data set production stage: using the camera to collect fuzzy images, not only using the simplest method to obtain fuzzy images, but also effectively expanding the number of fuzzy image data sets and reducing data acquisition costs.

[0043] The specific steps are as follows:

[0044] Step 101, acquisition of data sets: the camera shoots blurred pictures under different degrees of shaking;

[0045] Step 102, classify the acquired data set, and divide it into training set, verification set and test set;

[0046] Step 103, read the pre-trained model, and read into the blurred image directory.

[0047] Step 2, image preprocessing:

[0048] Step 201, the formula for calculating the gray value by the m...

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Abstract

The invention discloses an image deblurring method based on depth features. The invention relates to the field of low-quality image enhancement, solves the problem of blurred image restoration by using a standard non-blind deconvolution deblurring method, and comprises the following steps: 1, carrying out graying and decoloration algorithm preprocessing on an original blurred image; 2, enlarging a receptive field of an input image by adopting a VGG16 network, and extracting fuzzy features; 3, selecting a local image block to obtain an initial blurring kernel, and reconstructing a clear image by adopting a standard non-blind deconvolution deblurring method; and 4, constructing a double-loss function, namely optimizing the restored clear image by using a smoothness loss function and a color loss function.

Description

technical field [0001] The invention relates to the technical field of low-quality image enhancement, in particular to an image deblurring method based on depth features. Background technique [0002] In the process of image acquisition, due to camera shake or image blur caused by some uncontrollable factors, local information cannot be identified, feature extraction is difficult, and feature information is even lost, which increases the difficulty of further image processing, such as target recognition, target detection and tracking tasks. Therefore, how to effectively restore blurred images in the early stage is a hot issue in the research of image enhancement technology. [0003] The existing fuzzy restoration methods include methods based on inverse filtering, methods based on Wiener filtering, image blind restoration methods based on regularization constraints, image restoration methods based on maximum conditional probability (Richardson-Lucy) and probability statisti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06N3/04G06N3/08
Inventor 李晓艳蔡梦瑶王鹏张玉芳吕志刚许韫韬邸若海贺楚超
Owner XIAN TECHNOLOGICAL UNIV
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