지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
We propose an effective deep learning model to denoise scanning transmission electron microscopy (STEM) image series, named Noise2Atom, to map images from a source domain S S to a target domain C C , where S S is for our noisy experimental dataset, and C C is for the desired clear atomic images. Noise2Atom uses two external networks to apply additional constraints from the domain knowledge. This model requires no signal prior, no noise model estimation, and no paired training images. The only assumption is that the inputs are acquired with identical experimental configurations. To evaluate the restoration performance of our model, as it is impossible to obtain ground truth for our experimental dataset, we propose consecutive structural similarity (CSS) for image quality assessment, based on the fact that the structures remain much the same as the previous frame(s) within small scan intervals. We demonstrate the superiority of our model by providing evaluation in terms of CSS and visual quality on different experimental datasets.
목차
등록된 정보가 없습니다.
참고문헌 (40)
참고문헌 신청
M. Arjovsky / 2017 / Wasserstein GAN / arXiv:1701.07875
J. Batson / 2019 / Noise2Self: Blind Denoising by Self-Supervision / arXiv:1901.11365
T.-O. Buchholz / 2019 / Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data / 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) :502~506
T. -O. Buchholz / 2019 / Content-aware image restoration for electron microscopy / Methods Cell Biol 152:277~289
K. Cao / 2018 / Comparison of atomic scale dynamics for the middle and late transition metal nanocatalysts / Nat. Commun 9(1):1~10
J. Batson / 2019 / Noise2Self: Blind Denoising by Self-Supervision / arXiv:1901.11365
T.-O. Buchholz / 2019 / Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data / 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) :502~506
T. -O. Buchholz / 2019 / Content-aware image restoration for electron microscopy / Methods Cell Biol 152:277~289
K. Cao / 2018 / Comparison of atomic scale dynamics for the middle and late transition metal nanocatalysts / Nat. Commun 9(1):1~10
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