Image denoising using difference classifier and trimmed global mean filter adaptive approach

Author:

Fatima S. H.,Munir A.,Hussain S. T.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference32 articles.

1. Turkmen, I.: a new method to remove random-valued impulse noise in images. J. Vis. Commun. Image Represent. 34, 771–779 (2013)

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3. Cao, B., Zhang, H., Wang, N., Gao, X., Shen, D.: Auto-GAN: self-supervised collaborative learning for medical image synthesis. In Proceedings of the AAAI conference on artificial intelligence (pp. 10486-10493). (2020).

4. Neshatavar, R., Yavartanoo, M., Son, S., Lee, K.M.: CVF-SID: cyclic multi-variate function for self-supervised image denoising by disentangling noise from image. Proc. IEEE Comput Soc. Conf. Comput. Vis. Pattern Recognit. 2022, 17562–17570 (2022)

5. Huang, J.J., Dragotti, P.L.: WINNet: wavelet-Inspired Invertible Network for Image Denoising. IEEE Trans. Image Process. 31, 4377–4392 (2022)

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