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

Image reconstruction method based on combination of motion estimation and super-resolution reconstruction

A technology of super-resolution reconstruction and image reconstruction, which is applied in the field of image processing and can solve the problems that the motion estimation process is not completely accurate and affects super-resolution reconstruction.

Inactive Publication Date: 2011-09-21
ZHEJIANG UNIV
View PDF2 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the traditional super-resolution image reconstruction method, the motion estimation process and the super-resolution reconstruction process are two separate steps. Since the motion estimation process itself is not completely accurate in this method, the motion estimation process generated The error will affect the effect of super-resolution reconstruction

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
  • Image reconstruction method based on combination of motion estimation and super-resolution reconstruction
  • Image reconstruction method based on combination of motion estimation and super-resolution reconstruction
  • Image reconstruction method based on combination of motion estimation and super-resolution reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to describe the present invention more specifically, the image reconstruction method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0028] Such as figure 1 As shown, the specific implementation process of an image reconstruction method based on joint motion estimation and super-resolution reconstruction is as follows:

[0029] (1) All low-resolution images are enlarged by trilinear interpolation.

[0030] Obtain a frame of low-resolution images to be reconstructed and N frames of reference images, perform trilinear interpolation and amplification on all low-resolution images, and obtain a frame of interpolated images to be reconstructed and N frames of reference interpolated images.

[0031] Let i, j be non-negative integers, u, v∈[0, 1), f(i, j) is the pixel value at the point (i, j) in the image, then the trilinear interpolation method consists of the following five formula...

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 an image reconstruction method based on combination of motion estimation and super-resolution reconstruction, and the method comprises the following steps: (1) performing interpolation amplification on all low-resolution images; (2) performing motion estimation on the image to be reconstructed and the reference images respectively; (3) fusing the images, thus getting a fused image; and (4) performing denoising treatment on the fused image, thus getting the super-resolution reconstructed image. The motion estimation process and the super-resolution reconstruction process are combined together, and the relation between a plurality of the reference images with different low resolutions and a motion estimation parameter of the image to be reconstructed is utilized, so that the precision of the motion estimation parameter is simultaneously optimized during the super-resolution reconstruction process, and the super-resolution reconstruction effect is effectively enhanced. Therefore, the method can be widely applied in the field of satellite remote sensing of biomedical images, image repairing and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image reconstruction method based on joint motion estimation and super-resolution reconstruction. Background technique [0002] Image resolution has always been an important indicator for people to measure image quality. Traditionally, people use image interpolation methods to improve image resolution, such as bilinear interpolation algorithms, cubic linear interpolation algorithms, and so on. However, these methods have limited effects because no new amount of information is introduced. In order to further improve the resolution of images, super-resolution image reconstruction methods have been proposed to solve this problem. [0003] Image super-resolution reconstruction technology is to use several low-resolution images, combined with some prior information of the image, using modern signal processing technology to remove blur, noise and other factors...

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
IPC IPC(8): G06T5/50
Inventor 谢立唐磊
Owner ZHEJIANG 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