Image denoising via neighborhood-based multidimensional Gaussian process regression

[1]  Xiaobo Zhang,et al.  Center pixel weight based on Wiener filter for non-local means image denoising , 2021 .

[2]  Achyut Shankar,et al.  A novel optical image denoising technique using convolutional neural network and anisotropic diffusion for real-time surveillance applications , 2021, J. Real Time Image Process..

[3]  Sunil Kumar Sharma,et al.  A new image denoising framework using bilateral filtering based non-subsampled shearlet transform , 2020 .

[4]  Sunil Agrawal,et al.  Image denoising review: From classical to state-of-the-art approaches , 2020, Inf. Fusion.

[5]  Fan Zhang,et al.  Brief review of image denoising techniques , 2019, Vis. Comput. Ind. Biomed. Art.

[6]  Xueru Bai,et al.  Radar Image Series Denoising of Space Targets Based on Gaussian Process Regression , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Andreas Weinmann,et al.  Fast Median Filtering for Phase or Orientation Data , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Jian Yang,et al.  MemNet: A Persistent Memory Network for Image Restoration , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[9]  Lei Zhang,et al.  Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.

[10]  Xinbo Gao,et al.  Image super-resolution using non-local Gaussian process regression , 2016, Neurocomputing.

[11]  Xinbo Gao,et al.  Single-Image Super-Resolution Using Active-Sampling Gaussian Process Regression , 2016, IEEE Transactions on Image Processing.

[12]  Gaurav Harit,et al.  Gradient sensitive kernel for Image Denoising, using Gaussian Process Regression , 2015, 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

[13]  Juxia Ma,et al.  Based on the fourier transform and the wavelet transformation of the digital image processing , 2012, 2012 International Conference on Computer Science and Information Processing (CSIP).

[14]  Malcolm Atkinson,et al.  Computed tomography perfusion imaging denoising using Gaussian process regression , 2012, Physics in medicine and biology.

[15]  Sunil Kumar Kopparapu,et al.  Identifying Optimal Gaussian Filter for Gaussian Noise Removal , 2011, 2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics.

[16]  Wan-Chi Siu,et al.  Single image super-resolution using Gaussian process regression , 2011, CVPR 2011.

[17]  Michal Irani,et al.  Super-resolution from a single image , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[18]  Peyman Milanfar,et al.  Kernel Regression for Image Processing and Reconstruction , 2007, IEEE Transactions on Image Processing.

[19]  Jean-Michel Morel,et al.  A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[20]  Tanja Hueber,et al.  Gaussian Processes For Machine Learning , 2016 .

[21]  A. Das.  Review on Image Denoising Techniques , 2014 .

[22]  Peter J. Liu,et al.  Using Gaussian process regression to denoise images and remove artefacts from microarray data , 2007 .

[23]  Nikolay N. Ponomarenko,et al.  Image Filtering Based on Discrete Cosine Transform , 2007 .