Improved non-local self-similarity measures for effective speckle noise reduction in ultrasound images
暂无分享,去创建一个
Dong Zhang | Yan Yang | Fuyuan Mei | Dong Zhang | Yan Yang | Fuyuan Mei
[1] Trac D. Tran,et al. Context-based entropy coding of block transform coefficients for image compression , 2002, IEEE Trans. Image Process..
[2] O. V. von Ramm,et al. Frequency compounding for speckle contrast reduction in phased array images. , 1982, Ultrasonic imaging.
[3] Nelson D. A. Mascarenhas,et al. Ultrasound Image Despeckling Using Stochastic Distance-Based BM3D , 2017, IEEE Transactions on Image Processing.
[4] R. F. Wagner,et al. Statistics of Speckle in Ultrasound B-Scans , 1983, IEEE Transactions on Sonics and Ultrasonics.
[5] Sudhish N. George,et al. Ultrasound image despeckling using low rank matrix approximation approach , 2017, Biomed. Signal Process. Control..
[6] Jonathan Li,et al. SAR Image Denoising via Clustering-Based Principal Component Analysis , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[7] Alejandro F. Frangi,et al. Probabilistic-Driven Oriented Speckle Reducing Anisotropic Diffusion with Application to Cardiac Ultrasonic Images , 2010, MICCAI.
[8] Ajay Gupta,et al. Speckle reduction in medical ultrasound images using an unbiased non-local means method , 2016, Biomed. Signal Process. Control..
[9] Carl-Fredrik Westin,et al. Oriented Speckle Reducing Anisotropic Diffusion , 2007, IEEE Transactions on Image Processing.
[10] Giacomo Boracchi,et al. Foveated Nonlocal Self-Similarity , 2016, International Journal of Computer Vision.
[11] A. Fenster,et al. 3-D ultrasound imaging: a review , 1996 .
[12] Pierrick Coupé,et al. Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal , 2007, SSVM.
[13] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[14] Jian Sun,et al. Guided Image Filtering , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Alexander A. Sawchuk,et al. Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Y. Wang,et al. Speckle filtering of ultrasonic images using a modified non local-based algorithm , 2011, Biomed. Signal Process. Control..
[17] Zvi Friedman,et al. A new method of spatial compounding imaging. , 2003, Ultrasonics.
[18] Prerna Singh,et al. Synthetic models of ultrasound image formation for speckle noise simulation and analysis , 2017, 2017 International Conference on Signals and Systems (ICSigSys).
[19] Chandan Singh,et al. A hybrid algorithm for speckle noise reduction of ultrasound images , 2017, Comput. Methods Programs Biomed..
[20] Jong-Sen Lee,et al. Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[22] Tong Fang,et al. Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[23] Charles Perreault,et al. Speckle Simulation Based on B-Mode Echographic Image Acquisition Model , 2007, Fourth Canadian Conference on Computer and Robot Vision (CRV '07).
[24] Fabio Baselice. Ultrasound Image Despeckling Based on Statistical Similarity. , 2017, Ultrasound in medicine & biology.
[25] Ming Yang,et al. Image Blind Denoising with Generative Adversarial Network Based Noise Modeling , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[26] Chen Wang,et al. Comparison of Despeckle Filters for Breast Ultrasound Images , 2015, Circuits Syst. Signal Process..
[27] Alexander A. Sawchuk,et al. Adaptive restoration of images with speckle , 1987, IEEE Trans. Acoust. Speech Signal Process..
[28] Lahcène Mitiche,et al. Medical image denoising using dual tree complex thresholding wavelet transform and Wiener filter , 2015, J. King Saud Univ. Comput. Inf. Sci..
[29] T. Loupas,et al. An adaptive weighted median filter for speckle suppression in medical ultrasonic images , 1989 .
[30] Alexandre Jouan,et al. Speckle filtering of SAR images: a comparative study between complex-wavelet-based and standard filters , 1997, Optics & Photonics.
[31] Guillermo Sapiro,et al. Non-local sparse models for image restoration , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[32] 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.
[33] Zong-Guo Xia,et al. A comprehensive evaluation of filters for radar speckle suppression , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.
[34] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[35] Hemant D. Tagare,et al. Evaluation of Four Probability Distribution Models for Speckle in Clinical Cardiac Ultrasound Images , 2006, IEEE Transactions on Medical Imaging.
[36] Charles-Alban Deledalle,et al. Non-local Methods with Shape-Adaptive Patches (NLM-SAP) , 2012, Journal of Mathematical Imaging and Vision.
[37] Pierrick Coupé,et al. Nonlocal Means-Based Speckle Filtering for Ultrasound Images , 2009, IEEE Transactions on Image Processing.
[38] 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.
[39] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[40] Danni Ai,et al. Local statistics and non-local mean filter for speckle noise reduction in medical ultrasound image , 2016, Neurocomputing.
[41] 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.
[42] F. G. Sommer,et al. Ultrasonic characterization of abdominal tissues via digital analysis of backscattered waveforms. , 1981, Radiology.
[43] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[44] S. D. Silverstein,et al. Optimum displacement for compound image generation in medical ultrasound , 1988, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[45] Ganapathi Subramanian,et al. Adaptive wavelet packet-based de-speckling of ultrasound images with bilateral filter. , 2013, Ultrasound in medicine & biology.
[46] Santiago Aja-Fernández,et al. On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering , 2006, IEEE Transactions on Image Processing.
[47] Olaf T. von Ramm,et al. Compound Scanning with a Phased Array , 1982 .
[48] Ivan W. Selesnick,et al. Enhanced Low-Rank Matrix Approximation , 2015, IEEE Signal Processing Letters.
[49] Bogdan Smolka,et al. Adaptive Non-local Means Filtering for Speckle Noise Reduction , 2014, ICCVG.
[50] Scott T. Acton,et al. Speckle reducing anisotropic diffusion , 2002, IEEE Trans. Image Process..
[51] R. S. Anand,et al. Despeckling of ultrasound medical images using nonlinear adaptive anisotropic diffusion in nonsubsampled shearlet domain , 2014, Biomed. Signal Process. Control..
[52] Xuming Zhang,et al. Nonlocal means method using weight refining for despeckling of ultrasound images , 2014, Signal Process..