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.

Abstract
1. INTRODUCTION
2. OBSERVATIONAL DATA
3. ALGORITHM
    3.1. Multi-ScaleWavelet Transform
    3.2. Radon Transform and Adaptive Partitioning
    3.3. Frequency Domain Filtering through aBlock Image
4. INTERFERENCE FRINGE REMOVAL METHOD
5. ANALYSIS RESULTS AND CONCLUSIONS
REFERENCES

• Yongchun Li(College of Science, China Three Gorges University)
• Sheng Zheng(College of Science, China Three Gorges University)
• Yao Huang(College of Computer and Information Technology, China Three Gorges University) Corresponding author
• Dejian Liu(College of Science, China Three Gorges University)