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Kai Liang Lew on Muck Rack

Kai Liang Lew

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Articles

Blind SNR estimation in SEM images using hybrid statistical and CNN features

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By Kok Swee Sim, Kai Liang Lew
| Nature Verified
Abstract Scanning Electron Microscopy (SEM) image quality depends strongly on signal-to-noise ratio (SNR), but blind SNR estimation is still difficult when no clean reference image is available. This paper presents HSCF-KANet, a hybrid framework that combines lightweight CNN features with multi-scale local variance and power spectral density (PSD) and uses a Kolmogorov-Arnold Network (KAN) regression head for single-image SNR estimation.
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