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eess.IV2025
Deep Unfolded BM3D: Unrolling Non-local Collaborative Filtering into a Trainable Neural Network
Kerem Basim, Mehmet Ozan Unal, Metin Ertas +1
Block-Matching and 3D Filtering (BM3D) exploits non-local self-similarity priors for denoising but relies on fixed parameters. Deep models such as U-Net are more flexible but often…
eess.IV2025
Task-Adaptive Low-Dose CT Reconstruction
Necati Sefercioglu, Mehmet Ozan Unal, Metin Ertas +1
Deep learning-based low-dose computed tomography reconstruction methods already achieve high performance on standard image quality metrics like peak signal-to-noise ratio and struc…