A Blind Convolution Motion Blur Image Restoration Method

A motion-blurred image and blind convolution technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of increased computing time, unfavorable real-time recovery of motion blur, etc., to achieve improved stability and good image recovery effect , the effect of suppressing the influence

Active Publication Date: 2019-05-17
BEIJING HANGXING MACHINERY MFG CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] However, there are some serious defects in the Richardson-Lucy algorithm method. The first problem is the noise amplification problem, which is also a common problem of this type of method (using the maximum likelihood solution).
The second problem is how many iterations are appropriate for different parts of the restored image
The calculation time of the Richardson-Lucy algorithm also increases significantly with the increase of the number of iterations, which is not conducive to the real-time recovery of motion blur

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 Blind Convolution Motion Blur Image Restoration Method
  • A Blind Convolution Motion Blur Image Restoration Method
  • A Blind Convolution Motion Blur Image Restoration Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The method of the invention is used to restore the images collected by the small X-ray scanning inspection system. The system structure is shown as figure 1 As shown, it includes the following parts:

[0035] X-ray machine: It is mainly composed of a controller and an X-ray generator, which is used to generate continuous low-energy (tens to hundreds of kV) X-rays.

[0036] Mechanical transmission device: including conveyor belt, motor and system skeleton, box.

[0037] Detection and data acquisition subsystem: use the detector array and communication module to measure the high and low energy generated by X-rays synchronously, and perform high-speed data transmission with the operation inspection subsystem.

[0038] Operation inspection subsystem: including host computer and high-resolution monitor. Execute and accept user instructions, control system operation and accept detector data, and perform multi-functional image processing functions.

[0039] Electrical cont...

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 a blind convolutional motion fuzzy image restoration method. The method comprises steps that S1, an observation image is acquired, derivative filtering of the observation image is carried out through utilizing a differential filter, a high frequency degeneration image is generated; S2, an intelligible image is updated; S3, a formula described as specifications is solved through utilizing an iteration least squares, and a point spread function is updated and solved; S4, if a dimension of the point spread function is greater than a set value, the dimension of the point diffusion function is enhanced, the process returns to the step S2, otherwise, iteration stops; and S5, according to the optimal point spread function acquired in the step S4 and the observation image, so a restoration image is solved through an original non-blind convolutional method. The method is advantaged in that the point spread function acquired through solution is stable, influence of noise on the restoration image is inhibited, and substantial fuzzy recovery effect, high automation degree, simple operation and rapid performing speed are realized.

Description

technical field [0001] The invention relates to signal processing technology in images, in particular to a blind convolution motion blurred image restoration method. Background technique [0002] When a video camera is used to capture images of a scene, if there is relative motion between the scene and the camera during the exposure of the camera, the resulting photos tend to be blurred. This kind of image blurring is called motion blur, and solving the problem of image restoration by establishing a restoration model of moving images is the main means of researching and solving motion blur. If the influence of noise is considered, the degradation model of motion blurred image can be described as a degradation function and an additive noise term n(x,y), processing an input image f(x,y) produces a degraded image g(x,y). [0003] [0004] Among them, h(x,y) is called the blur kernel or point spread function, Represents convolution, f(x,y) represents the original clear im...

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): G06T5/00G06T7/20
CPCG06T5/002G06T5/003
Inventor 徐圆飞张文杰何竞择
Owner BEIJING HANGXING MACHINERY MFG CO LTD
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