Image Deblurring Method Based on Adaptive Multidirectional Total Variation

A total variation and deblurring technology, which is applied in the field of image deblurring based on adaptive multi-directional total variation, can solve problems such as defocused images, blurred photos, and inability to completely solve problems, and achieve good deblurring effects Effect

Active Publication Date: 2020-12-15
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, although the hardware level of smart cameras has been greatly improved compared with a few years ago, it cannot completely solve the problems in practical applications.
In special cases, blurred photos will still be obtained: 1) due to the shaking of the mobile phone when taking pictures, there will be motion blur; 2) there will be problems with defocused and blurred pictures because the focal length is not adjusted in place when taking pictures

Method used

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  • Image Deblurring Method Based on Adaptive Multidirectional Total Variation
  • Image Deblurring Method Based on Adaptive Multidirectional Total Variation
  • Image Deblurring Method Based on Adaptive Multidirectional Total Variation

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Embodiment Construction

[0025] The present invention will be further elaborated below in conjunction with the accompanying drawings.

[0026] Such as figure 1 Shown is an image deblurring method based on adaptive multi-directional total variation, which includes the following steps:

[0027] S1, performing blur kernel estimation on the original input blurred image;

[0028] S2, performing noise estimation on the original input blurred image, and performing corresponding denoising processing according to the degree of noise;

[0029] S3, adjusting the regularization parameter λ;

[0030] S4, Estimate all weights in the adaptive multivariate total variational model using the denoised image

[0031] Step 5, construct image deblurring cost function;

[0032] S6, using the Split Bregman Iteration technology to optimize the reconstruction cost function to obtain an estimated clear image;

[0033] S7, repeat steps 4 to 6 until the number of iterations reaches a preset value.

[0034] In the preferre...

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Abstract

The present invention discloses an image deblurring method based on adaptive multi-directional total variation. It mainly uses multi-directional gradients to remove the ladder effect in the original total variation model (Total Variation, TV), and uses gradient-based adaptive weights. The constraint strength at each pixel is controlled, and the proposed total variation model (TV) is finally used to constrain the unknown clear image, and finally the unknown clear image is estimated using the iterative solution method.

Description

technical field [0001] The invention relates to the technical field of deblurring in the field of image processing, in particular to an image deblurring method based on adaptive multi-directional total variation. Background technique [0002] In recent years, with the development of information technology, images have been widely used in various fields in society. At present, although the hardware level of smart cameras has been greatly improved compared with a few years ago, it cannot completely solve the problems in practical applications. In special cases, blurred photos will still be obtained: 1) due to the shaking of the mobile phone when taking pictures, there is motion blur; 2) because the focal length is not adjusted properly when taking pictures, there will be problems of defocused and blurred pictures. Clear images are the basis of many practical applications, such as object detection, video surveillance, medical imaging processing, etc. . Contents of the inven...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20024G06T5/73G06T5/70
Inventor何娟万蕾刘蛟
OwnerSICHUAN CHANGHONG ELECTRIC CO LTD