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Three-dimensional noisy image restoration using filtered extrapolation and deconvolution.

, , , and . Signal Image Video Process., 7 (1): 1-10 (2013)

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Editorial., and . RITA, 12 (2): 5-8 (2005)New Methods for Picture Reconstruction: Recursive and Causal Techniques., and . IEEE Trans. Pattern Anal. Mach. Intell., 2 (4): 369-376 (1980)Design of robust pattern classifiers based on optimum-path forests., , , , and . ISMM (1), page 337-348. MCT/INPE, (2007)Projection estimation in 3D PET reconstruction: a statistical evaluation., , , and . ICIP, page 618-621. IEEE Computer Society, (1995)The Influence of the Noise in the Restoration of Solar Radio Images using Adaptive Regularization Techniques Based on Clustering., , and . ICPR (2), page 371-374. IEEE Computer Society, (2004)GSAShrink: A Novel Iterative Approach for Wavelet-Based Image Denoising., , and . SIBGRAPI, page 156-163. IEEE Computer Society, (2009)Double Noise Filtering in CT: Pre- and Post-Reconstruction., , , and . SIBGRAPI, page 313-320. IEEE Computer Society, (2015)Does Background Intensity Estimation Influence the Iterative Restoration of Microscope Images?, and . SIBGRAPI, page 56-62. IEEE Computer Society, (2010)Combining Methods to Stabilize and Increase Performance of Neural Network-Based Classifiers., , and . SIBGRAPI, page 105-111. IEEE Computer Society, (2005)Three-dimensional noisy image restoration using filtered extrapolation and deconvolution., , , and . Signal Image Video Process., 7 (1): 1-10 (2013)