Noisy-as-Clean SSL denoises real seismic data effectively when injected noise matches actual noise statistics, providing a practical alternative to supervised methods that require clean references.
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image.IEEE Transactions on Image Processing, 29:9316–9329
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Deploying Self-Supervised Learning for Real Seismic Data Denoising
Noisy-as-Clean SSL denoises real seismic data effectively when injected noise matches actual noise statistics, providing a practical alternative to supervised methods that require clean references.