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Internship presentation of Matin Dehghani on the topic : Reduced Exposure and Fast Imaging in Industrial CT Using Noise2Noise Denoising Method
This study explores using the Noise2Noise framework to enhance X-ray CT scans in industrial settings, focusing on reducing scan times.
Unlike traditional methods, Noise2Noise trains on noisy, low-exposure datasets without needing a noise-free ground truth. The report compares Noise2Noise with other reconstruction algorithms like TV regularization, examining its potential to expedite scans and improve image quality.
Lecture language: English