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

Multi-exposure Image De-artifact Fusion Method Based on Low Rank Matrix Restoration

A low-rank matrix, fusion method technology, applied in the field of high dynamic range images, which can solve problems such as image artifacts and blurring

Active Publication Date: 2020-03-24
SYSU CMU SHUNDE INT JOINT RES INST +2
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the above deficiencies, the present invention provides an improved low-rank matrix restoration multi-exposure image artifact fusion method to solve the phenomenon of artifacts or blurring in existing fused 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
  • Multi-exposure Image De-artifact Fusion Method Based on Low Rank Matrix Restoration
  • Multi-exposure Image De-artifact Fusion Method Based on Low Rank Matrix Restoration
  • Multi-exposure Image De-artifact Fusion Method Based on Low Rank Matrix Restoration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] The present invention will be further elaborated below in conjunction with the accompanying drawings.

[0085] Such as figure 1 As shown, the multi-exposure image fusion method based on low-rank matrix restoration of the present invention includes: 1) normalizing the input multi-exposure image sequence; 2) using a camera to normalize the multi-exposure image sequence Response function to achieve radiometric calibration; 3) vectorize each radiometrically corrected image in the multi-exposure image sequence as a column vector of the data matrix; 4) use the low-rank matrix recovery algorithm to solve the low-rank matrix of the data matrix; 5) use the low-rank matrix The matrix reconstructs a high dynamic range image. The specific implementation process of the multi-exposure image de-artifact fusion method based on low-rank matrix restoration is as follows: figure 2 shown.

[0086] Each step is described in detail below:

[0087] 1) if image 3 Shown is a multi-exposu...

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 multi-exposure image artifact removal fusion method based on low-rank matrix restoration. First, the input multi-exposure image sequence is normalized; then, the camera response function is used to perform radiometric calibration on the normalized image sequence; then the multi-exposure image sequence is vectorized to form a data matrix for low-rank matrix restoration; an improved low-rank matrix is ​​used The matrix recovery algorithm obtains a low-rank matrix; the high dynamic range (HDR) image of the target is restored from the low-rank matrix data. The present invention utilizes the latest research results of low-rank matrix restoration to effectively remove artifacts and blur problems in the fused HDR image.

Description

technical field [0001] The invention relates to a method for synthesizing a low dynamic range image into a high dynamic range image, specifically, it relates to a method for combining multi-exposure low dynamic range image sequences by using radiation calibration and low rank matrix restoration algorithm, and finally generating A method for high dynamic range images without artifacts. Background technique [0002] High dynamic range imaging is already starting to become a commercial product, such as a smartphone. In the same real scene, the limited dynamic range of most imaging sensors often cannot capture the brightness of the full dynamic range of the scene. However, a relatively simple and cheap way can solve this limitation, which is to capture several pairs of the same scene with different exposure times The images are then fused into a high dynamic range image that records the brightness of the scene, thus effectively extending the dynamic range of the image. However...

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): G06T5/00G06T5/50G06T7/80
CPCG06T5/50G06T2207/10016G06T2207/20208G06T2207/20221G06T5/92G06T5/73
Inventor 谭洪舟刘颜陈荣军李智文朱雄泳黄登邹兵兵嵇志辉谢舜道
Owner SYSU CMU SHUNDE INT JOINT RES INST
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