천문학회지 (Journal of The Korean Astronomical Society)

  • 제52권2호
  • /
  • Pages.49-55
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  • 2019
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  • 1225-4614(pISSN)
  • /
  • 2288-890X(eISSN)
한국천문학회 (The Korean Astronomical Society)
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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)
  • 투고 : 2018.11.19
  • 심사 : 2019.03.21
  • 발행 : 2019.04.30
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초록

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.

키워드

CMHHBA_2019_v52n2_49_f0001.tif 이미지

Figure 1. Chromosphere images including fringes.

CMHHBA_2019_v52n2_49_f0002.tif 이미지

Figure 2. Scale images containing fringes. a. NVST image. b. 4th scale image. c. 7th scale image. d. 10th scale image.

CMHHBA_2019_v52n2_49_f0003.tif 이미지

Figure 3. a. All blocks in the 7th scale image. b. Fringed blocks in the 7th scale image.

CMHHBA_2019_v52n2_49_f0004.tif 이미지

Figure 4. The number of fringe blocks at each scale.

CMHHBA_2019_v52n2_49_f0005.tif 이미지

Figure 5. a. Fringed block. b. Angular projected intensity image. c. First-order differential image. d. Distribution of first few peak points. e. Un-fringed block. f. Angular projected intensity image. g. First-order differential image. h. Distribution of first few peaks.

CMHHBA_2019_v52n2_49_f0006.tif 이미지

Figure 8. Flow chart of our interference fringe removal procedure.

CMHHBA_2019_v52n2_49_f0007.tif 이미지

Figure 9. Application of fringe removal to solar images. Left panels: Before fringe removal. Center panels: After fringe removal. Right panels: Difference between corrected and uncorrected images.

CMHHBA_2019_v52n2_49_f0008.tif 이미지

Figure 10. a. Original image without fringes. b. Extracted fringes. c. Fringe overlay image. d. Restored image with adaptive partitioning.

CMHHBA_2019_v52n2_49_f0009.png 이미지

Figure 6. a. Bimodal Gaussian filter function. b. Gaussian filtering in a specific column.

CMHHBA_2019_v52n2_49_f0010.png 이미지

Figure 7. a,c,e. From the top: the 7th, 4th, and 10th scale before filtering. b,d,f. From the top: the 7th, 4th, and 10th scale after filtering.

Table 1 SE evaluation results for five datasets

CMHHBA_2019_v52n2_49_t0001.tif 이미지

Table 2 SSIM evaluation results for five datasets

CMHHBA_2019_v52n2_49_t0002.tif 이미지

참고문헌

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