Title:
SEQUENCE IMAGE SUPER-RESOLUTION CORRECTION METHOD BASED ON IMAGE GRADIENT VARIANCE ANALYSIS
Document Type and Number:
WIPO Patent Application WO/2023/284637
Kind Code:
A1
Abstract:
Disclosed in the present invention is a sequence image super-resolution correction method based on image gradient variance analysis. The present invention is used for processing a fluorescence sequence image captured by an optical microscope, the grayscale value distribution of the image reflects the distribution of the fluorescence signal intensity, and a time sequence fluctuation feature is recorded as time changes. The method in the present invention comprises: firstly, analyzing two types of information of a sequence image: one involving, for fluorescence intensity distribution, analyzing a variance of the fluorescence intensity of each pixel point itself as time changes, and the other involving calculating a fluorescence intensity gradient field and analyzing a variance of the fluorescence intensity gradient of each pixel point as time changes; then defining a weighting function by using the two variances, and performing weighted correction on an original sequence image; and finally, performing SRRF analysis on the corrected image sequence to obtain a super-resolution sample fluorescence image having low background noise, a weakened artifact and an enhanced resolution capability. The method has a wide applicability, and can be applied to a common wide field, confocal imaging, structured light illumination imaging, etc.
Inventors:
MA JIONG (CN)
GONG XINGYU (CN)
WANG BAIJU (CN)
MI LAN (CN)
FEI YIYAN (CN)
ZHOU LI (CN)
YAO LONGFANG (CN)
ZHANG LI (CN)
CHEN LIWEN (CN)
GONG XINGYU (CN)
WANG BAIJU (CN)
MI LAN (CN)
FEI YIYAN (CN)
ZHOU LI (CN)
YAO LONGFANG (CN)
ZHANG LI (CN)
CHEN LIWEN (CN)
Application Number:
PCT/CN2022/104555
Publication Date:
January 19, 2023
Filing Date:
July 08, 2022
Export Citation:
Assignee:
UNIV FUDAN (CN)
International Classes:
G06T5/00
Foreign References:
| CN113658056A | 2021-11-16 | |||
| CN111524064A | 2020-08-11 | |||
| CN111402210A | 2020-07-10 | |||
| CN111474150A | 2020-07-31 | |||
| US20200357096A1 | 2020-11-12 |
Other References:
GONG XINGYU, ZHOU LI, YAO LONGFANG, ZHANG LI, CHEN LIWEN, FEI YIYAN, MI LAN, WANG BAOJU, MA JIONG: "Achieving Increased Resolution and Reconstructed Image Quality with Intensity and Gradient Variance Reweighted Radial Fluctuations", ACS PHOTONICS, vol. 9, no. 5, 18 May 2022 (2022-05-18), pages 1700 - 1708, XP093023928, ISSN: 2330-4022, DOI: 10.1021/acsphotonics.2c00077
Attorney, Agent or Firm:
SHANGHAI EAST ASIA PATENT & TRADEMARK AGENCY CO., LTD. (CN)
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