Image splicing method based on brightness adaptive registration

A reference image and image stitching technology, applied in the field of image processing, can solve the problem of inconsistent brightness of panoramic images, and achieve the effect of avoiding uneven brightness and improving viewing quality.

Active Publication Date: 2015-11-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the technical problem of inconsistency in the brightness of panoramic images in traditional image stitching, and to provide a way to achieve image brightness registration based on brightness self-adaptation at the image stitching location, so as to improve the visual effect of stitched 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
  • Image splicing method based on brightness adaptive registration
  • Image splicing method based on brightness adaptive registration
  • Image splicing method based on brightness adaptive registration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0020] see figure 1 , based on the image mosaic method of the present invention, the specific process of image mosaic processing for the image sequence to be mosaiced (img1, img2, img3, ..., imgn) is:

[0021] Step S100: Input a series of image sequences to be stitched (img1, img2, img3, .

[0022] Step S200: Initialize the reference image: based on the preset brightness interval [80,200], calculate the ratio of the number of pixels falling in the brightness interval in each image to the total number of pixels in each image, and obtain the image sequence ( img1, img2, img3, ..., imgn) corresponding ratio value: p 1 ,p 2 ,p 3 ,...,p n , select the largest one as the reference image Image_s, that is, Image_s=max(p 1 ,p 2 ,p 3 ,...,p n ), and delete Image_s from the image sequence to be spliced.

[0023] Step S300: Determine the current image to be adjusted based on the reference image Image_s: select an image Image_t overlapping with Image_s from the sequence of images ...

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 splicing method based on brightness adaptive registration, and belongs to the image processing technology field. Images to be spliced are transmitted to a brightness space, a reference image is initialized, then an image overlapping with the current reference image is selected from the images to be spliced as a current image to be adjusted, divided-interval brightness adjustment of the brightness value of each pixel point of the image to be adjusted is carried out based on the brightness addition value of each preset brightness interval, then the image after brightness adjustment is subjected to brightness smooth processing, and then the reference image is subjected to image splicing processing; if processing of the images to be spliced is not finished, the current splicing image is employed as a reference image, and image to be adjusted determination, divided-interval brightness adjustment, brightness smooth processing and splicing processing are repeated. The method is simple in calculation, the problem is solved that splicing images are not consistent in brightness under different exposure differences, and the visual quality of splicing images is raised greatly.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an image splicing method based on brightness self-adaptive registration. Background technique [0002] Image mosaic technology is the technology of stitching several images with overlapping parts (which may be obtained at different times, different angles of view or different sensors) into a large seamless high-resolution image. Standard, establishment of transformation model, unified coordinate transformation and fusion reconstruction. The image registration part is the core part of the entire image stitching technology, which is directly related to the success rate and running speed of the image stitching algorithm. The so-called image registration means to use a certain matching strategy to find out the template or feature in the image to be stitched. The corresponding position of the point in the reference image, and then determine the transformation relationship be...

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): G06T3/00G06T3/40
CPCG06T3/0068G06T3/4038
Inventor 王正宁倪霄龙蒋妍朱永芸
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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