Adaptive image denoising by targeted databases
We propose a data-dependent denoising procedure to restore noisy images. Different from
existing denoising algorithms which search for patches from either the noisy image or a …
existing denoising algorithms which search for patches from either the noisy image or a …
Clustering-based denoising with locally learned dictionaries
P Chatterjee, P Milanfar - IEEE transactions on Image …, 2009 - ieeexplore.ieee.org
In this paper, we propose K-LLD: a patch-based, locally adaptive denoising method based
on clustering the given noisy image into regions of similar geometric structure. In order to …
on clustering the given noisy image into regions of similar geometric structure. In order to …
From heuristic optimization to dictionary learning: A review and comprehensive comparison of image denoising algorithms
Image denoising is a well explored topic in the field of image processing. In the past several
decades, the progress made in image denoising has benefited from the improved modeling …
decades, the progress made in image denoising has benefited from the improved modeling …
Learning how to combine internal and external denoising methods
Different methods for image denoising have complementary strengths and can be combined
to improve image denoising performance, as has been noted by several authors [11, 7] …
to improve image denoising performance, as has been noted by several authors [11, 7] …
Category-specific object image denoising
We present a novel image denoising algorithm that uses external, category specific image
database. In contrast to existing noisy image restoration algorithms that search patches …
database. In contrast to existing noisy image restoration algorithms that search patches …
Image denoising through multi-scale learnt dictionaries
Over the last decade, a number of algorithms have shown promising results in removing
additive white Gaussian noise from natural images, and though different, they all share in …
additive white Gaussian noise from natural images, and though different, they all share in …
Adaptive image denoising by mixture adaptation
We propose an adaptive learning procedure to learn patch-based image priors for image
denoising. The new algorithm, called the expectation-maximization (EM) adaptation, takes a …
denoising. The new algorithm, called the expectation-maximization (EM) adaptation, takes a …
Automatic estimation and removal of noise from a single image
Image denoising algorithms often assume an additive white Gaussian noise (AWGN)
process that is independent of the actual RGB values. Such approaches are not fully …
process that is independent of the actual RGB values. Such approaches are not fully …
Natural image denoising: Optimality and inherent bounds
The goal of natural image denoising is to estimate a clean version of a given noisy image,
utilizing prior knowledge on the statistics of natural images. The problem has been studied …
utilizing prior knowledge on the statistics of natural images. The problem has been studied …
Patch-based near-optimal image denoising
P Chatterjee, P Milanfar - IEEE Transactions on Image …, 2011 - ieeexplore.ieee.org
In this paper, we propose a denoising method motivated by our previous analysis of the
performance bounds for image denoising. Insights from that study are used here to derive a …
performance bounds for image denoising. Insights from that study are used here to derive a …