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http://dx.doi.org/10.5303/JKAS.2019.52.2.49

AN INTERFERENCE FRINGE REMOVAL METHOD BASED ON MULTI-SCALE DECOMPOSITION AND ADAPTIVE PARTITIONING FOR NVST IMAGES  

Li, Yongchun (College of Science, China Three Gorges University)
Zheng, Sheng (College of Science, China Three Gorges University)
Huang, Yao (College of Computer and Information Technology, China Three Gorges University)
Liu, Dejian (College of Science, China Three Gorges University)
Publication Information
Journal of The Korean Astronomical Society / v.52, no.2, 2019 , pp. 49-55 More about this Journal
Abstract
The New Vacuum Solar Telescope (NVST) is the largest solar telescope in China. When using CCDs for imaging, equal-thickness fringes caused by thin-film interference can occur. Such fringes reduce the quality of NVST data but cannot be removed using standard flat fielding. In this paper, a correction method based on multi-scale decomposition and adaptive partitioning is proposed. The original image is decomposed into several sub-scales by multi-scale decomposition. The region containing fringes is found and divided by an adaptive partitioning method. The interference fringes are then filtered by a frequency-domain Gaussian filter on every partitioned image. Our analysis shows that this method can effectively remove the interference fringes from a solar image while preserving useful information.
Keywords
Sun: chromosphere; techniques: image processing;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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