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

A deblurring method for natural scene images fused with parameter-free image quality assessment

A technology for natural scene image and quality evaluation, applied in the field of image processing, it can solve the problems of poor method adaptability and difficulty in finding clear samples, so as to achieve the effect of improving quality, overcoming poor method adaptability and reducing computing scale.

Active Publication Date: 2020-06-02
JIANGXI UNIV OF SCI & TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a natural scene image deblurring method that integrates non-parametric image quality evaluation, overcomes the shortcomings of difficulty in finding clear samples and poor adaptability of the method to a certain extent, and improves the quality of existing image deblurring

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
  • A deblurring method for natural scene images fused with parameter-free image quality assessment
  • A deblurring method for natural scene images fused with parameter-free image quality assessment
  • A deblurring method for natural scene images fused with parameter-free image quality assessment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention is mainly aimed at the motion blur generated in the video and image of the dynamic monitoring. For example, the vehicle-mounted camera is installed on a fixed platform, and the blur is mainly generated by the relative motion of the camera motion and the scene.

[0037] The present invention improves the existing deblurring process, introduces non-parametric image quality evaluation, and increases the image quality evaluation and optimization process after deconvolution, so that the optimal image quality can be recovered from a single blurred image without a clear reference image.

[0038] The present invention will be described in detail below in conjunction with examples.

[0039] 1. Variable mapping modeling based on spatial transformation;

[0040] 1.1 Analyze the cause of image blur, and construct a mathematical abstract model of the forward motion blur process according to the characteristics of the forward motion blur:

[0041]

[0042] A...

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 relates to an image processing technology, in particular to a natural scene image deblurring method integrated with non-reference image quality evaluation. According to the method, a mathematical model of an imaging blurring process is built on the basis of analysis for image blurring causes; the model is linearized according to neighborhood graduality; independent variable mapping based on linear expansion is constructed according to the non-definite characteristic of inverse operation of the model, and calculation scale of problem solving is reduced accordingly; the non-reference image quality evaluation is introduced into the image blurring effect for evaluating an image obtained through solving, a recursive algorithm is established according to the relation between independent variables and evaluation quality indexes, and image deblurring is realized finally. With adoption of the method, defects that clear samples are difficult to find and adaptive capacity of the method is poor can be overcome to a certain degree, and existing image deblurring quality is improved.

Description

technical field [0001] The present invention relates to image processing technology, in particular to an image deblurring method that combines no-reference image quality evaluation. Background technique [0002] In the process of acquiring digital images, the image quality is degraded (degraded) due to the influence of various complex factors. These degradations include image blurring, distortion, distortion caused by optical systems, atmospheric turbulence effects, motion, etc., as well as circuit and optical factors. noise. [0003] Because the natural clear image has certain statistical characteristics, and image blurring will change this characteristic. Fergus et al [Fergus, Rob, et al. Removing camera shake from a single photograph. ACMTransactions on Graphics (TOG) [J], 25(3), 2006.] found through a large number of experiments that the gradient of natural images obeys the heavy-tailed distribution , and use a Gaussian model to approximate the heavy-tailed distributio...

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): G06T5/00G06T7/00
CPCG06T5/003G06T7/0002G06T2207/10016G06T2207/30168
Inventor 黄绿娥鄢化彪肖茜朱根松吴凌燕刘辉
Owner JIANGXI UNIV OF SCI & TECH
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