Recent developments in computational color image denoising with PDEs to deep learning: a review-Reference-Cited by-同舟云学术

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Recent developments in computational color image denoising with PDEs to deep learning: a review

Published:2021-03-05 Issue:8 Volume:54 Page:6245-6276
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Salamat Nadeem,Missen Malik Muhammad Saad,Surya Prasath V. B.^ORCID

Funder

National Center for Advancing Translational Sciences

National Heart, Lung, and Blood Institute

National Institute of Allergy and Infectious Diseases

Cincinnati Children’s Hospital Medical Center

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-021-09977-z.pdf

Reference95 articles.

1. Ambrosio L, Tortorelli VM (1990) Approximation of functional depending on jumps by elliptic functional via gamma-convergence. Commun Pure Appl Math 43(8):999–1036. https://doi.org/10.1002/cpa.3160430805

2. Astrom F, Schnorr C (2017) A geometric approach for color image regularization. Comput Vis Image Underst 165:43–59. https://doi.org/10.1016/j.cviu.2017.10.013

3. Bar L, Brook A, Sochen N, Kiryati N (2005) Color image deblurring with impulsive noise. In: Paragios N, Faugeras O, Chan T, Schnorr C (eds) Variational, geometric, and level set methods in computer vision. Springer, Berlin, pp 49–60

4. Barash D (2001) One-step deblurring and denoising color images using partial differential equations. Techcical report HPL2000, HP Labortries

5. Bevilacqua M, Roumy A, Guillemot C, Morel MA (2012) Low-complexity single-image super-resolution based on nonnegative neighbor embedding. In: Proceedings of the British machine vision conference. BMVA Press, pp 135.1–135.10. https://doi.org/10.5244/C.26.135

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