Perturbation of the Eigenvectors of the Graph Laplacian: Application to Image Denoising

29 February 2012

Papers citing "Perturbation of the Eigenvectors of the Graph Laplacian: Application to Image Denoising"

15 / 15 papers shown

Title
Efficient and Robust Remote Sensing Image Denoising Using Randomized Approximation of Geodesics' Gramian on the Manifold Underlying the Patch Space Kelum Gajamannage D. Jayathilake Maria Vasilyeva 50 0 0 15 Apr 2025
Efficient Image Denoising by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix Kelum Gajamannage Yonggi Park S. Mallikarjunaiah Sunil Mathur 17 1 0 27 Sep 2022
Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling Boris Landa Xiuyuan Cheng 101 6 0 16 Sep 2022
Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions Yonggi Park Kelum Gajamannage Alexey L. Sadovski DiffM 19 6 0 04 Mar 2022
Impact of signal-to-noise ratio and bandwidth on graph Laplacian spectrum from high-dimensional noisy point cloud Xiucai Ding Hau‐Tieng Wu 107 13 0 21 Nov 2020
Image Denoising Using the Geodesics' Gramian of the Manifold Underlying Patch-Space Kelum Gajamannage 44 4 0 14 Oct 2020
Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise Boris Landa Ronald R. Coifman Y. Kluger 77 23 0 31 May 2020
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective Stanley H. Chan 75 58 0 31 Aug 2018
The steerable graph Laplacian and its application to filtering image data-sets Boris Landa Y. Shkolnisky 74 19 0 06 Feb 2018
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 119 805 0 09 Nov 2016
Algorithm-Induced Prior for Image Restoration Stanley H. Chan 37 15 0 01 Feb 2016
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective Stanley H. Chan Todd E. Zickler Yue M. Lu 44 10 0 01 Jan 2016
Boosting of Image Denoising Algorithms Yaniv Romano Michael Elad 102 143 0 22 Feb 2015
An algorithm for improving Non-Local Means operators via low-rank approximation Victor May Y. Keller N. Sharon Y. Shkolnisky 29 24 0 20 Nov 2014
Monte Carlo non local means: Random sampling for large-scale image filtering Stanley H. Chan Todd E. Zickler Yue M. Lu 96 92 0 27 Dec 2013