Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression Filtering Method for SEM Images
Scanning Electron Microscopy (SEM) images often suffer from noise contamination, which degrades image quality and affects further analysis. This research presents a complete approach to estimate their Signal-to-Noise Ratio (SNR) and noise variance (NV), and enhance image quality using NV-guided Wien...
Saved in:
| Main Authors: | Dominic Chee Yong Ong, Iksan Bukhori, Kok Swee Sim, Kok Beng Gan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11015481/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation
by: Kai Liang Lew, et al.
Published: (2025-01-01) -
Single Image Signal-to-Noise Ratio (SNR) Estimation Techniques for Scanning Electron Microscope: A Review
by: Dominic Chee Yong Ong, et al.
Published: (2024-01-01) -
A Systematic Literature Review of Source Number Estimation in Multi-Sensor Array Signal Processing
by: Ge Shengguo, et al.
Published: (2025-01-01) -
SNR Estimation Arithmetic Base on 1 Bit Quantization Correlator
by: Li Yuanling, et al.
Published: (2024-01-01) -
Novel data-aided SNR estimation algorithm for QPSK signal in AWGN channel
by: JIANG Zheng-bo, et al.
Published: (2008-01-01)