References
- Rudin L, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms. Phys D. 1992;60:259–268.
- El Rhabi M, Fenniri H, Hakim A, et al. A new image deblurring approach using a special convolution expansion. 21st Eur Signal Process Conf (EUSIPCO 2013), Marrakech. 2013;1–5.
- Liu J, Yan M, ZengT. Surface-aware blind image deblurring. IEEE Trans Pattern Anal Mach Intell. 2019; 43(3):1041–1055.
- Laghrib A, Hakim A, Raghay S, et al. A combined total variation and bilateral filter approach for image robust super resolution. EURASIP J Image Video Process. 2015;19:2015.
- El Mourabit I, El Rhabi M, Hakim A, et al. A new denoising model for multi-frame super-resolution image reconstruction. Signal Processing. 2017;132:51–65.
- Chan T, Wong CK. Total variation blind deconvolution. IEEE Trans Image Process. 1998;7:370–375.
- Liu RW, Yin W, Xiong S, et al. L0-regularized hybrid gradient sparsity priors for robust single-image blind deblurring. IEEE Int Conf Acoust Speech Signal Process (ICASSP). 2018;1348–1352.
- Zhong Q, Wu C, Shu Q, et al. Spatially adaptive total generalized variation-regularized image deblurring with impulse noise. J Electron Imaging. 2018;27(5):053006.
- Fergus R, Singh B, Hertzmann A, et al. Removing camera shake from a single photograph. ACM Trans Graph. 2006;71:787–794.
- Chan T, Shen J. Image processing and analysis. SIAM:Philadelphia; 2005.
- You Y, Kaveh M. A regularization approach to joint blur identification and image restoration. IEEE Trans Image Process. 1996;5:416–428.
- Levin A, Weiss Y, Durand F, et al. Understanding blind deconvolution algorithms. IEEE Trans Image Process. 2011;33(12):2354–2367.
- Dumas L, El Rhabi M, Rochefort G. An evolutionary approach for blind deconvolution of barcode images with nonuniform illumination. IEEE Congr Evol Comput (CEC), New Orleans, LA. 2011;2423–2428.
- Ayers GR, Dainty JC. Iterative blind deconvolution method and its applications. Opt Lett. 1988;13:547–549.
- Ashino R, Kataoka S, Mandai T, et al. Blind image source separations by wavelet analysis. Appl Anal. 2012;91:617–644.
- Perrone D, Favaro P. A clearer picture of total variation blind deconvolution. IEEE Trans Pattern Anal Mach Intell. 2015; 38(6):1041–1055.
- Farsiu S, Dirk M, Elad M, et al. Fast and robust multiframe super resolution. IEEE Trans Image Process. 2004;13:1327–1344.
- Farsiu S, Robinson D, Elad M, et al. Advanced and challenges in super-resolution. Int J Imaging Syst Technol. 2004;14(2):47–57.
- Zenga X, Yangi L. A robust multiframe super-resolution algorithm based on half-quadratic estimation with modified BTV regularization. Digit Signal Process. 2004;23:98–109.
- Aubert G, Kornprobst P. Mathematical problems in image processing partial differential equations and the calculus of variations. New York: Springer Science;2006.
- Attouch H, Buttazzo G, Michaille G. Variational analysis in sobolev and BV spaces: applications to PDE's and optimization. Philadelphia (PA): SIAM; 2005.Society for Industrial and Applied Mathematics.
- Ambrosio L, Fusco N, Pallara D. Functions of bounded variation and free discontinuity problems. New York (NY): The Clarendon Press Oxford University Press; 2000.Oxford Mathematical Monographs.
- Ghazdali A, Hakim A, Laghrib A, et al. A new method for the extraction of fetal ECG from the dependent abdominal signals using blind source separation and adaptive noise cancellation techniques. Theor Biol Med Model. 2015;12: 12–25.
- Brezis H. Functional analysis, Sobolev spaces and partial differential equations. New York: Springer; 2011.
- Lu W, Duan J, Qiu Z, et al. Implementation of high-order variational models made easy for image processing. Math Methods Appl Sci. 2016;39(14):4208–4233.
- Robinson S. Farsiu D, Elad M, Milanfar P. Fast and robust multiframe super resolution. IEEE Trans Image Process. 2004;13(10):1327–1344.
- Wang Z, Bovik AC. Mean squared error: love it or leave it? A new look at signal fidelity measures. IEEE Signal Process Mag. 2009;26:98–117.
- Wang Z, Bovik AC, Sheikh HR, et al. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process. 2004;13:600–612.
- Osher S, Fedkiw R. Level set methods and dynamic implicit surfaces. New York: Springer; 2003.