Reconstruction method of atmospheric turbulence degraded images

A technology for degraded images and atmospheric turbulence, applied in image data processing, 3D modeling, instruments, etc., can solve problems such as poor clarity of restored images

Active Publication Date: 2013-09-18
NORTHWESTERN POLYTECHNICAL UNIV
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the existing turbulence image reconstruction and restoration methods, the reconstruction and restoration image clarity is poor, the present invention provides a reconstruction method for atmospheric turbulence degradation 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
  • Reconstruction method of atmospheric turbulence degraded images
  • Reconstruction method of atmospheric turbulence degraded images
  • Reconstruction method of atmospheric turbulence degraded images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] 1. Multi-frame registration eliminates distorted images.

[0047] A non-rigid registration method based on B-splines is used to estimate the motion field of pixels in the distorted image relative to the reference image and to register the image sequence. Use the average image of the sequence as the reference image R for registration, select uniform control points with the same distance in the image grid, and use the motion parameters of the control points to represent the global distortion field of the distorted image through B-spline interpolation. Using the bidirectional projection error to estimate the distortion field of each frame pixel, the optimized objective function C(p) is:

[0048] C ( p ) = Σ x | G ( W ( x ...

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 discloses a reconstruction method of atmospheric turbulence degraded images and aims to solve the technical problem that the image reconstructed and restored by the existing turbulence image reconstruction and restoration method is poor in sharpness. According to the technical scheme, the method includes firstly, performing multi-frame registration to eliminate distorted images; secondly, reconstructing a diffraction blurred image based on space-time neighborhood combination; and thirdly, performing globally uniform blind deconvolution to eliminate diffraction blur. According to the method, the influence upon artificial derivatives caused by registration errors and registration interpolation and the action upon the reconstructed observation object caused by space-dimensional and time-dimensional redundant structure information are fully considered, statistical dependency relationship of space-time similar image blocks and intra-block pixels to potential high-quality image content is established, corresponding sampling strategies are designed and used to select structurally similar high-quality image blocks, the diffraction blurred image is obtained by means of neighborhood combination, the diffraction blurred image is finally deblurred by the universal globally-uniform deconvolution, and accordingly a sharp reconstructed image is obtained.

Description

technical field [0001] The invention relates to a degraded image reconstruction method, in particular to an atmospheric turbulence degraded image reconstruction method. Background technique [0002] The document "Xiang Zhu; Milanfar, P.," Removing Atmospheric Turbulence via Space-Invariant Deconvolution," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.35, no.1, pp.157, 170, Jan.2013" proposed a A Framework for Multi-Frame Turbulence Image Reconstruction and Restoration Based on B-spline Registration, Temporal Kernel Regression Denoising, and Globally Consistent Blind Restoration. In this method, multi-frame average images are used as reference images, and the image distortion caused by atmospheric turbulence is eliminated by a non-rigid image registration method based on B-splines. For the registered (aligned) image sequence, each image is divided into overlapping image blocks with the same size centered on each pixel, so as to construct a sequence of ...

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): G06T17/05
Inventor 张艳宁巩东孙瑾秋李海森
Owner NORTHWESTERN POLYTECHNICAL UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap