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This is a test. The citing facilities is good. I tested it :

Blind deconvolution references:

Superresolution references:

Writing the equations is easy too: \(x=y^{2}\).

\begin{equation} g(t)=\int f_{j}\exp\{-j\omega t\}\\ \end{equation}

Using the macros seems to be more difficult.

\begin{equation} {\textbf{g}}={\textbf{H}}{\widehat{{\textbf{f}}}}+\epsilon,{{\textbf{a}}},{{\textbf{A}}},{\scu{A}},{\widehat{{{\textbf{a}}}}}{\widehat{{{\textbf{A}}}}},{\widetilde{{{\textbf{a}}}}}{\widehat{{{\textbf{A}}}}}\\ \end{equation}


  1. O Tichy, V Smidl. Bayesian blind separation and deconvolution of dynamic image sequences using sparsity priors.. IEEE Trans Med Imaging 34, 258-66 ().

  2. SU Park, N Dobigeon, AO Hero. Semi-blind sparse image reconstruction with application to MRFM.. IEEE Trans Image Process 21, 3838-49 ().

  3. T Kenig, Z Kam, A Feuer. Blind image deconvolution using machine learning for three-dimensional microscopy.. IEEE Trans Pattern Anal Mach Intell 32, 2191-204 ().

  4. SD Babacan, J Wang, R Molina, AK Katsaggelos. Bayesian blind deconvolution from differently exposed image pairs.. IEEE Trans Image Process 19, 2874-88 ().

  5. A Tonazzini, I Gerace, F Martinelli. Multichannel blind separation and deconvolution of images for document analysis.. IEEE Trans Image Process 19, 912-25 ().

  6. DG Tzikas, AC Likas, NP Galatsanos. Variational Bayesian sparse kernel-based blind image deconvolution with Student’s-t priors.. IEEE Trans Image Process 18, 753-64 ().

  7. SD Babacan, R Molina, AK Katsaggelos. Variational Bayesian blind deconvolution using a total variation prior.. IEEE Trans Image Process 18, 12-26 ().

  8. R Molina, J Mateos, AK Katsaggelos. Blind deconvolution using a variational approach to parameter, image, and blur estimation.. IEEE Trans Image Process 15, 3715-27 ().

  9. Yusuke Murayama, Ari Ide-Ektessabi. Bayesian image superresolution for hyperspectral image reconstruction. (2012). Link

  10. Tao Wang, Yan Zhang, Yong Sheng Zhang. SuperResolution Image Reconstruction Using a Hybrid Bayesian Approach. 412–419 (2006). Link

  11. Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii. Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. 611–620 (2007). Link

  12. Frédéric Champagnat, Guy Le Besnerais, Caroline Kulcsár. Bayesian Approach in Performance Modeling: Application to Superresolution. 109–139 (2015). Link

  13. . Superresolution. 781–781 (2014). Link

  14. MO Camponez, OT Evandro, M Sarcinelli-Filho. Super-resolution image reconstruction using non-parametric Bayesian INLA approximation.. IEEE Trans Image Process 21, 3491-501 ().

  15. A Kanemura, S Maeda, S Ishii. Superresolution with compound Markov random fields via the variational EM algorithm.. Neural Netw 22, 1025-34 ().

  16. C Cai, T Rodet, S Legoupil, A Mohammad-Djafari. A full-spectral Bayesian reconstruction approach based on the material decomposition model applied in dual-energy computed tomography.. Med Phys 40, 111916 ().

  17. XM Li, A Mohammad-Djafari, M Dumitru, S Dulong, E Filipski, S Siffroi-Fernandez, A Mteyrek, F Scaglione, C Guettier, F Delaunay, F Lévi. A circadian clock transcription model for the personalization of cancer chronotherapy.. Cancer Res 73, 7176-88 (2013).

  18. H Ayasso, A Mohammad-Djafari. Joint NDT image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation.. IEEE Trans Image Process 19, 2265-77 ().

  19. M Nikolova, J Idier, A Mohammad-Djafari. Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF.. IEEE Trans Image Process 7, 571-85 ().

  20. N Bali, A Mohammad-Djafari. Bayesian approach with hidden Markov modeling and mean field approximation for hyperspectral data analysis.. IEEE Trans Image Process 17, 217-25 ().

  21. MM Ichir, A Mohammad-Djafari. Hidden Markov models for wavelet-based blind source separation.. IEEE Trans Image Process 15, 1887-99 ().

  22. C Soussen, A Mohammad-Djafari. Polygonal and polyhedral contour reconstruction in computed tomography.. IEEE Trans Image Process 13, 1507-23 ().

  23. MK Nguyen, A Mohammad-Djafari. Bayesian approach with the maximum entropy principle in image reconstruction from microwave scattered field data.. IEEE Trans Med Imaging 13, 254-62 ().

  24. A Mohammad-Djafari, G Demoment. Maximum entropy image reconstruction in X-ray and diffraction tomography.. IEEE Trans Med Imaging 7, 345-54 ().

  25. A Mohammad-Djafari, G Demoment. Maximum entropy Fourier synthesis with application to diffraction tomography.. Appl Opt 26, 1745-54 ().

  26. F Héron, A Mohammad-Djafari, M Degeorges, J Perrin. Correlative study of simultaneous surface and intracardiac recordings of electrical activity from the specific atrioventricular conduction pathways.. Eur Heart J 2, 419-27 ().

  27. A Mohammad-Djafari, F Heron, R Duperdu, J Perrin. Noninvasive recording of the his-purkinje system electrical activity by a digital system design.. J Biomed Eng 3, 147-52 ().

  28. Ali Mohammad-Djafari. Introduction to Inverse Problems in Imaging and Vision. 15–58 (2013). Link

  29. Doriano-Boris Pougaza, Ali Mohammad-Djafari, Ali Mohammad-Djafari, Jean-FrancBercher, Pierre Bessieŕe. Maximum Entropies Copulas. (2011). Link

  30. . Inverse Problems in Vision and 3D Tomography. (2013). Link

  31. Masoud Rabiei, Mohammad Modarres, Ali Mohammad-Djafari, Ali Mohammad-Djafari, Jean-FrancBercher, Pierre Bessieŕe. Bayesian Knowledge Fusion in Prognostics and Health ManagementA Case Study. (2011). Link

  32. Sha Zhu, Ali Mohammad-Djafari, Ali Mohammad-Djafari, Jean-FrancBercher, Pierre Bessieŕe. A Bayesian approach to Fourier Synthesis inverse problem with application in SAR imaging. (2011). Link

  33. Boujemaa Ait-El-Fquih, Ali Mohammad-Djafari, Ali Mohammad-Djafari, Jean-FrancBercher, Pierre Bessieŕe. Signals and Images Foreground∕Background Joint Estimation and Separation. (2011). Link

  34. Ali Mohammad-Djafari. From deterministic to probabilistic approaches to solve inverse problems. (1998). Link

  35. Hichem Snoussi, Ali Mohammad-Djafari. Image Separation. 377–410 (2013). Link

  36. . Maximum Entropy and Bayesian Methods. (1993). Link

  37. Doriano-Boris Pougaza, Ali Mohammad-Djafari. New copulas obtained by maximizing Tsallis or Re'nyi entropies. (2012). Link

  38. A. Mohammad-Djafari, K.H. Knuth. Bayesian approaches. 467–513 (2010). Link

  39. Ali Mohammad-Djafari, Nasser Qaddoumi, Reza Zoughi. Blind deconvolution approach for resolution enhancement of near-field microwave images. (1999). Link

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