Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Janjušević, Nikola"'
Nonlocal self-similarity within images has become an increasingly popular prior in deep-learning models. Despite their successful image restoration performance, such models remain largely uninterpretable due to their black-box construction. Our previ
Externí odkaz:
http://arxiv.org/abs/2407.18967
Nonlocal self-similarity within natural images has become an increasingly popular prior in deep-learning models. Despite their successful image restoration performance, such models remain largely uninterpretable due to their black-box construction. O
Externí odkaz:
http://arxiv.org/abs/2306.01950
Image processing neural networks, natural and artificial, have a long history with orientation-selectivity, often described mathematically as Gabor filters. Gabor-like filters have been observed in the early layers of CNN classifiers and even through
Externí odkaz:
http://arxiv.org/abs/2204.11146
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing
Deep learning based methods hold state-of-the-art results in low-level image processing tasks, but remain difficult to interpret due to their black-box construction. Unrolled optimization networks present an interpretable alternative to constructing
Externí odkaz:
http://arxiv.org/abs/2112.00913
Deep learning based methods hold state-of-the-art results in image denoising, but remain difficult to interpret due to their construction from poorly understood building blocks such as batch-normalization, residual learning, and feature domain proces
Externí odkaz:
http://arxiv.org/abs/2103.04779
Autor:
Frost BL; Department of Electrical Engineering, Columbia University, 500 W. 120th St., Mudd 1310, New York, NY 10027, USA., Janjušević NP; New York University, Tandon School of Engineering, Electrical and Computer Engineering, 370 Jay St, Brooklyn, NY 11201, USA., Strimbu CE; Columbia University, Department of Otolaryngology, 630 West 168th Street, New York, NY 10032, USA., Hendon CP; Department of Electrical Engineering, Columbia University, 500 W. 120th St., Mudd 1310, New York, NY 10027, USA.
Publikováno v:
Biomedical optics express [Biomed Opt Express] 2023 Oct 02; Vol. 14 (11), pp. 5539-5554. Date of Electronic Publication: 2023 Oct 02 (Print Publication: 2023).
