Super-resolution image acquisition method and system based on human eye retina mechanism

A low-resolution image, super-resolution technology, applied in the field of photoelectric imaging, can solve the problems of low reconstruction complexity and low data calculation amount, and achieve the effect of reducing complexity, improving efficiency, and simplifying image registration parameters

Active Publication Date: 2018-10-12
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the super-resolution image acquisition method and system of the human retinal mechanism disclosed in the present invention is: to obtain an initial low-resolution image with ...

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
  • Super-resolution image acquisition method and system based on human eye retina mechanism
  • Super-resolution image acquisition method and system based on human eye retina mechanism
  • Super-resolution image acquisition method and system based on human eye retina mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] This embodiment discloses a super-resolution image acquisition method of the retinal mechanism of the human eye, and the working flow chart is as follows figure 1 shown, including the following steps:

[0028] Step 1: Obtain a low-resolution image according to the input super-resolution magnification k.

[0029] Input the super-resolution magnification k according to actual requirements, and the control module 4 strictly controls the change of the current value of the liquid lens 1 according to the input super-resolution magnification value, thereby changing the focal length of the liquid lens 1, so that the target can present a clear image within the depth of field Simultaneously obtain low-resolution images of varying field-of-view sizes. The low-resolution image obtained by changing the size of the field of view is displayed as a change in the radial direction of the sampling point in Cartesian coordinates, and a change in the vertical direction in logarithmic polar...

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 super-resolution image acquisition method and system based on a human eye retina mechanism and belongs to the field of photoelectric imaging technology. Through the method, according to the characteristics that low-resolution log-polar coordinate images with horizontal sub-pixel displacement and vertical sub-pixel displacement can be obtained according to human eye retinarotation and scale invariance, low-resolution images needed for super-resolution reconstruction are acquired through combined transformation of the horizontal sub-pixel displacement and the verticalsub-pixel displacement, image registration parameters are simplified, and the complexity of super-resolution reconstruction is lowered; and meanwhile, since a non-uniform sampling structure of a humaneye retina space has the characteristics that the middle has a high resolution in imaging and the edge has a low resolution in imaging, the data volume involved in super-resolution reconstruction isreduced, the efficiency of super-resolution reconstruction is improved, and target recognition and tracking speed after super-resolution reconstruction is further increased. The invention furthermorediscloses the super-resolution image acquisition system based on the human eye retina mechanism, and the system is used for implementing the method.

Description

technical field [0001] The invention relates to a super-resolution image acquisition method and system of the retinal mechanism of the human eye, and belongs to the technical field of photoelectric imaging. Background technique [0002] The pixel density in high-resolution images is higher, and it can provide more image detail information than low-resolution images at the same size, which can be used for accurate target recognition and tracking. Therefore, it is widely used in medical digital imaging, video surveillance, space remote sensing and Areas such as targeting are playing an increasingly important role. High-resolution images can be obtained by reducing the pixel size of the imaging device in the imaging system and increasing the pixel density of the imaging device in the imaging system. However, the current manufacturing level of the imaging device is not yet mature, the technology is complicated, and the development cost is high. Using super-resolution reconstruc...

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): G06T3/40G06T7/33G06K9/46
CPCG06T3/4053G06T7/33G06V10/462
Inventor 曹杰郝群肖宇晴王子寒王非
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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