Deep Convolutional Neural Network (DCNN) for the Identification of Striping in Images of Blood Cells
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62881-8_7
Reference13 articles.
1. Munch, B., Trtik, P., Marone, F., Stampanoni, M.: Stripe and ring artifact removal with combined wavelet - Fourier filtering and MR. Opt. Express 17(10), 8567–8591 (2017)
2. Pande-Chhetri, R., Abd-Elrahman, A.: De-striping hyperspectral imagery using wavelet transform and adaptive frequency domain filtering using machine learning. ISPRS J. Photogramm. Remote Sens. 66(5), 620–636 (2011)
3. Cevik, T., Cevik, N., Rasheed, J., et al.: Facial recognition in hexagonal domain—a frontier approach. IEEE Access 11, 46577–46591 (2023)
4. Shen, I., Zhang, L.: ANN-based algorithm for destriping and inpainting of remotely sensed images. IEEE Trans. Geosci. Remote Sens. 47, 1492–1502 (2019)
5. Bouali, D., Ladjal, S.: Toward optimal destriping of MODIS data using a unidirectional variational model. IEEE Trans. Geosci. Remote Sens. 49, 2924–2935 (2016)
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