Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Multichannel filtering by gradient information
Signal Processing
Image Field Categorization and Edge/Corner Detection from Gradient Covariance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive vector median filtering
Pattern Recognition Letters
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Handbook of Image and Video Processing (Communications, Networking and Multimedia)
Handbook of Image and Video Processing (Communications, Networking and Multimedia)
Combined image compression and denoising using wavelets
Image Communication
Noise reduction in high dynamic range imaging
Journal of Visual Communication and Image Representation
Automatic Estimation and Removal of Noise from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image denoising with an optimal threshold and neighbouring window
Pattern Recognition Letters
Image denoising in steerable pyramid domain based on a local Laplace prior
Pattern Recognition
Efficient minimization method for a generalized total variation functional
IEEE Transactions on Image Processing
Probabilistic PCA self-organizing maps
IEEE Transactions on Neural Networks
A fast efficient restoration algorithm for high-noise image filtering with adaptive approach
Journal of Visual Communication and Image Representation
Logical System Representation of Images and Removal of Impulse Noise
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Decoding real block codes: activity detection Wiener estimation
IEEE Transactions on Information Theory
A universal noise removal algorithm with an impulse detector
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Kernel Regression for Image Processing and Reconstruction
IEEE Transactions on Image Processing
A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding
IEEE Transactions on Image Processing
Deblurring of Color Images Corrupted by Impulsive Noise
IEEE Transactions on Image Processing
Joint Source-Channel Coding Using Real BCH Codes for Robust Image Transmission
IEEE Transactions on Image Processing
Majorization–Minimization Algorithms for Wavelet-Based Image Restoration
IEEE Transactions on Image Processing
Structure-Oriented Multidirectional Wiener Filter for Denoising of Image and Video Signals
IEEE Transactions on Circuits and Systems for Video Technology
Stochastic approximation for background modelling
Computer Vision and Image Understanding
Reduction of JPEG compression artifacts by kernel regression and probabilistic self-organizing maps
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Improved bilateral filter for suppressing mixed noise in color images
Digital Signal Processing
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Many approaches to image restoration are aimed at removing either Gaussian or uniform impulsive noise. This is because both types of degradation processes are distinct in nature, and hence they are easier to manage when considered separately. Nevertheless, it is possible to find them operating on the same image, which produces a hard damage. This happens when an image, already contaminated by Gaussian noise in the image acquisition procedure, undergoes impulsive corruption during its digital transmission. Here we propose a principled method to remove both types of noise. It is based on a Bayesian classification of the input pixels, which is combined with the kernel regression framework.