Log-Domain Noisier2Inverse achieves 21.41 dB PSNR and 0.8358 SSIM on multiplicative-uniform-noisy ICF images via self-supervised training, with a proof of equivalence to supervised log-domain learning.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Denoising ICF Images with Multiplicative Uniform Noise: A Self-Supervised Study Based on the Log-Domain Noisier2Inverse Framework
Log-Domain Noisier2Inverse achieves 21.41 dB PSNR and 0.8358 SSIM on multiplicative-uniform-noisy ICF images via self-supervised training, with a proof of equivalence to supervised log-domain learning.