Ultrasound Image Despeckling Using Stochastic Distance-Based BM3D
暂无分享,去创建一个
Nelson D. A. Mascarenhas | Cid A. N. Santos | Diego L. N. Martins | N. Mascarenhas | D. L. N. Martins
[1] Marc Lebrun,et al. An Analysis and Implementation of the BM3D Image Denoising Method , 2012, Image Process. Line.
[2] Florence Tupin,et al. Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights , 2009, IEEE Transactions on Image Processing.
[3] Elsa D. Angelini,et al. BM3D-based ultrasound image denoising via brushlet thresholding , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[4] Zhou Wang,et al. Modern Image Quality Assessment , 2006, Modern Image Quality Assessment.
[5] Alan C. Bovik,et al. Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures , 2009, IEEE Signal Processing Magazine.
[6] H. Batatia,et al. Robust level set for heart cavities detection in ultrasound images , 2005, Computers in Cardiology, 2005.
[7] Luisa Verdoliva,et al. A nonlocal approach for SAR image denoising , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.
[8] Zhao Hongyu,et al. SAR image despeckling based on improved non-local means algorithm , 2014, 2014 International Conference on Electromagnetics in Advanced Applications (ICEAA).
[9] Ali M. Reza,et al. An Ultrasound Image Despeckling Approach Based on Principle Component Analysis , 2014 .
[10] J. Arendt. Paper presented at the 10th Nordic-Baltic Conference on Biomedical Imaging: Field: A Program for Simulating Ultrasound Systems , 1996 .
[11] Scott T. Acton,et al. Ultrasound Despeckling Using an Adaptive Window Stochastic Approach , 2006, 2006 International Conference on Image Processing.
[12] Christos P. Loizou,et al. Despeckle Filtering for Ultrasound Imaging and Video, Volume II: Selected Applications, Second Edition , 2015, Despeckle Filtering for Ultrasound Imaging and Video, Volume II, Second Edition.
[13] K. Boone,et al. Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study , 1996, Medical and Biological Engineering and Computing.
[14] A. Tannenbaum,et al. Despeckling of medical ultrasound images , 2006, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[15] Luisa Verdoliva,et al. A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[16] Victor S. Frost,et al. A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Yasser M. Kadah,et al. Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion , 2002, IEEE Transactions on Biomedical Engineering.
[18] Göran Salomonsson,et al. Image enhancement based on a nonlinear multiscale method , 1997, IEEE Trans. Image Process..
[19] Nelson D. A. Mascarenhas,et al. Intensity SAR Image Denoising with Stochastic Distances Using Non-Local Means Filter , 2013 .
[20] Xiaorong Gao,et al. A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing , 1999, IEEE Transactions on Medical Imaging.
[21] Ali Shamsoddini,et al. IMAGE TEXTURE PRESERVATION IN SPECKLE NOISE SUPPRESSION , 2010 .
[22] Nelson D. A. Mascarenhas,et al. Edge preserving wavelet speckle filtering , 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.
[23] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[24] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[25] Leandro Pardo,et al. On the applications of divergence type measures in testing statistical hypotheses , 1994 .
[26] Pierrick Coupé,et al. Nonlocal Means-Based Speckle Filtering for Ultrasound Images , 2009, IEEE Transactions on Image Processing.
[27] Gregory G. Slabaugh,et al. Information-Theoretic Feature Detection in Ultrasound Images , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[28] Zhou Wang,et al. Image Quality Assessment: From Error Measurement to Structural Similarity , 2004 .
[29] Alexander A. Sawchuk,et al. Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Jong-Sen Lee,et al. Speckle analysis and smoothing of synthetic aperture radar images , 1981 .
[31] J. Jensen,et al. Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[32] Hamid R. Tizhoosh,et al. EFIS—Evolving Fuzzy Image Segmentation , 2014, IEEE Transactions on Fuzzy Systems.
[33] Devis Tuia,et al. Remote Sensing Image Processing. Synthesis Lectures on Image, Video, and Multimedia Processing. , 2011 .
[34] Sugato Chakravarty,et al. Methodology for the subjective assessment of the quality of television pictures , 1995 .
[35] Antonio Fernando Catelli Infantosi,et al. Breast ultrasound despeckling using anisotropic diffusion guided by texture descriptors. , 2014, Ultrasound in medicine & biology.
[36] Alejandro César Frery,et al. SAR Image Despeckling Algorithms using Stochastic Distances and Nonlocal Means , 2013, ArXiv.
[37] Fabrizio Argenti,et al. Speckle removal from SAR images in the undecimated wavelet domain , 2002, IEEE Trans. Geosci. Remote. Sens..
[38] A. Bovik,et al. A universal image quality index , 2002, IEEE Signal Processing Letters.
[39] T. Taxt,et al. Restoration of medical ultrasound images using two-dimensional homomorphic deconvolution , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[40] Corina da Costa Freitas,et al. Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means , 2013, Pattern Recognit..
[41] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[42] Renato J. Cintra,et al. Hypothesis Testing in Speckled Data With Stochastic Distances , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[43] G. Cloutier,et al. A critical review and uniformized representation of statistical distributions modeling the ultrasound echo envelope. , 2010, Ultrasound in medicine & biology.
[44] Pierrick Coupé,et al. Bayesian non local means-based speckle filtering , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[45] Scott T. Acton,et al. Speckle reducing anisotropic diffusion , 2002, IEEE Trans. Image Process..