- Article
Periodic Noise Reduction in Neutron Imaging
- Shilin Wang,
- Tianhao Wang and
- Xin Tong
- + 2 authors
Periodic structures that may exist within the neutron imaging detector can introduce periodic noise into the imaging results, directly degrading image quality and further affecting the performance of deconvolution. This periodic noise appears as four-pointed star-shaped peaks in the amplitude spectrum of the frequency domain. However, the distribution of honeycomb-like noise structures in neutron imaging results makes it difficult to detect using conventional thresholding methods. We propose a method that applies a dilation operation before threshold detection to enhance the contrast between peaks and the surrounding areas. Then, a notch filter is used to smooth the peaks containing noise information, thereby removing the periodic noise structure. This approach effectively eliminates honeycomb structures of approximately 40 micrometers and improves the image quality after deconvolution processing.
2 March 2026




![Radial (upper) and axial (lower) core layouts of block/prismatic type RDE. Adapted from ref [6]. Copyright Elsevier.](https://mdpi-res.com/cdn-cgi/image/w=281,h=192/https://mdpi-res.com/qubs/qubs-10-00005/article_deploy/html/images/qubs-10-00005-g001-550.jpg)
![Schematic of the ka-band gyro-TWT with non-superconducting magnets. Adapted with permission from Ref. [9]. Copyright 2022 IEEE.](https://mdpi-res.com/cdn-cgi/image/w=281,h=192/https://mdpi-res.com/qubs/qubs-10-00004/article_deploy/html/images/qubs-10-00004-g001-550.jpg)

