Research on Spatially Adaptive High-Order Total Variation Model for Weak Fluorescence Image Restoration
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s12204-018-2016-8.pdf
Reference17 articles.
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3. AGHAZADEH N, BASTANI M, SALKUVEH D K. Generalized Hermitian and skew-Hermitian splitting iterative method for image restoration [J]. Applied Mathematical Modelling, 2015, 39(20): 6126–6138.
4. CHEONG H, CHAE E, LEE E, et al. Fast image restoration for spatially varying defocus blur of imaging sensor [J]. Sensors, 2015, 15(1): 880–898.
5. KARAKATSANIS N A, TSOUMPAS C, ZAIDI H. Quantitative PET image reconstruction employing nested expectation-maximization deconvolution for motion compensation [J]. Computerized Medical Imaging and Graphics, 2017, 60: 11–21.
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