Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Video Image Deblurring Method Based on Sparse Features

A technology of sparse features of video images, applied in image enhancement, image data processing, instruments, etc., can solve problems such as local optimal solution, multiple solutions, and rapid solution tool failure, and achieve good deblurring effect, practical model, Solve for stable and fast results

Active Publication Date: 2019-12-31
PEKING UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the biggest problem with using this constraint is that this constraint is a non-convex constraint, that is to say, after using this type of constraint, there may be multiple solutions and local optimal solutions, and the fast solution tool is in this will fail on the issue

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video Image Deblurring Method Based on Sparse Features
  • Video Image Deblurring Method Based on Sparse Features
  • Video Image Deblurring Method Based on Sparse Features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. It should be understood that the specific The examples are only used to explain the present invention, not to limit the present invention. The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] Such as figure 1 As shown, the video image deblurring method based on the sparsity feature includes a modeling step S1, establishing a deblurring model constrained by weighted total variation regularization; and a solving step S2, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a video image deblurring method based on sparse characteristics, which includes the following steps: a modeling step, establishing a deblurring model with weighted total variation regularization constraints, expressed as where, represents the restored clear image, and B represents the blur kernel , y represents the generated blurred image, μ is an adjustable parameter, W is the diagonal weight matrix, Vx includes horizontal, vertical and oblique first-order differences; the solution step is to obtain the updated pixel weight through alternating iteration method , iterate multiple times until convergence. According to the present invention, the deblurring process of blurred images is realized and clear images are restored. Moreover, the non-convex constraint model is improved through the weight distribution method, a convex optimization model is established, and the first-order difference constraint model of the image is made sparser, while fast solution of the model is achieved.

Description

technical field [0001] The invention belongs to the technical field of video image processing, in particular to a method for deblurring video images based on sparse characteristics. Background technique [0002] Image deblurring refers to the method of studying how to use a computer to restore a blurred digital image back to a clear image. [0003] Video deblurring refers to the method of processing the blurred video sequence caused by shooting into a clear sequence. [0004] The popularity of digital imaging equipment (digital cameras, digital video cameras, etc.) makes digital images more and more widely used. Inaccurate focusing during the shooting process, atmospheric blur in the air, and shaking during shooting will all cause unclear images. Faced with this situation, we need to use an image processing technology to turn this unclear image into a clear image. And this signal processing technology is the deblurring algorithm. [0005] Deblurring algorithms are mathem...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/73
Inventor 贾惠柱柏园超解晓东杨长水陈瑞高文
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com