Pollen image deblurring method and device based on fuzzy level, equipment and medium

A fuzzy level and deblurring technology, applied in image enhancement, image data processing, biological neural network models, etc., can solve the problem of image information loss and achieve the effect of improving generalization ability

Pending Publication Date: 2021-11-30
BEIJING UNIV OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a pollen image iterative deblurring method, device, equipment and medium based on fuzzy levels, which are used to solve the defects in the prior art that the pollen image is in a fuzzy state and a large amount of image information is lost, and realize an effective image deblurring algorithm to obtain clear pollen images

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
  • Pollen image deblurring method and device based on fuzzy level, equipment and medium
  • Pollen image deblurring method and device based on fuzzy level, equipment and medium
  • Pollen image deblurring method and device based on fuzzy level, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. 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.

[0035] Pollen image deblurring is an image inpainting task. Due to the lack of paired pollen image datasets and less research on pollen image deblurring, existing algorithm research mainly focuses on deblurring algorithms based on synthetic paired datasets. However, in practical applications, due to the large difference between the data distribution of synthetic blurred images and the da...

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 pollen image iterative deblurring method and device based on a fuzzy level, equipment and a medium. The method comprises the following steps: acquiring pollen images with different fuzzy degrees corresponding to the same pollen particles; evaluating the fuzzy degree of the pollen image to obtain the fuzzy level of each pollen image; and according to the blurring levels, inputting the pollen images into branch networks corresponding to an iterative deblurring network to deblurring the pollen images step by step so as to obtain clear pollen images, wherein the number of deblurring network branches included in the iterative deblurring network corresponds to the number of the blurring levels, and the basic real image of each level of pollen image is a pollen image with the fuzzy level clearer than that of the current level of pollen image. The fuzzy levels of the pollen images are evaluated, and the pollen images are used as the input of the model according to the sequence of the fuzzy levels of the pollen images from high to low, so that the pollen image deblurring with multiple fuzzy levels is realized.

Description

technical field [0001] The present invention relates to the technical field of computer image processing, in particular to a method, device, equipment and medium for iteratively deblurring pollen images based on blur levels. Background technique [0002] With the deepening of pollen-related research, obtaining clear pollen images as an important prerequisite for related research work based on pollen images has gradually attracted great attention from scholars in this field. Obtaining clear pollen images facilitates real-time monitoring of air pollen concentrations, thereby reducing the incidence of pollen allergies, saving treatment costs for patients, and reducing the harm to the body caused by taking allergy medicines; it is also helpful for scientific understanding of the current living environment. changes, so as to prevent geological disasters that may be triggered by climate change before they occur. [0003] However, due to various factors, the image was seriously ou...

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 Applications(China)
IPC IPC(8): G06T5/00G06N3/04
CPCG06T5/003G06N3/045
Inventor 李建强杨鑫李博雅程文秀徐沁兰
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products