A Non-Local Algorithm for Image Denoising

Buades, Antoni; Coll, Bartomeu; Morel, Jean‐Michel

doi:10.1109/cvpr.2005.38

Cited by 5,608 publications

(4,485 citation statements)

References 14 publications

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“…In the proposed method, the intensity-based distances between the patch under study and the patches in the training subjects are used to perform a weighted label fusion based on the nonlocal means estimator (Buades et al, 2005). The term nonlocal indicates that the spatial distance between the patches' centers is not taken into account; thus, the weight of each sample is only driven by the similarity of intensities between patches.…”

Section: Methods Overviewmentioning

confidence: 99%

“…• Search volume definition Initially, the nonlocal means denoising filter was proposed as a weighted average of all the pixels in the image (Buades et al, 2005). For computational reasons, the entire image cannot be used and the number of pixels involved has to be reduced.…”

Section: Fig 2 Initialization Masksmentioning

confidence: 99%

“…For computational reasons, the entire image cannot be used and the number of pixels involved has to be reduced. As done for denoising (Buades et al, 2005;Coupe et al, 2008), we use a limited search volume V i , defined as a cube centered on the voxel x i under study. Thus, within each of the N selected subjects, we search for similar patches in a cubic region around the location under study (see Fig.…”

Section: Fig 2 Initialization Masksmentioning

confidence: 99%

“…As exemplars, patch-based methods are currently the focus of attention of the computer vision community in various domains such as texture synthesis (Efros and Freeman, 2001), in-painting (Criminisi et al, 2004), restoration (Buades et al, 2005), and single-frame super resolution (Protter et al, 2009). In each of these domains, patch-based methods have been the subject of intensive investigation because they exhibit very high performance despite their simplicity.…”

Section: Introductionmentioning

confidence: 99%

“…In each of these domains, patch-based methods have been the subject of intensive investigation because they exhibit very high performance despite their simplicity. Inspired by the nonlocal means denoising filter (Buades et al, 2005), we propose a nonlocal patch-based approach using expert manual segmentations as priors in the context of anatomical segmentation. The nonlocal means filter has two interesting properties that can be exploited to improve segmentation.…”

Section: Introductionmentioning

confidence: 99%

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Section: Methods Overviewmentioning

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Section: Fig 2 Initialization Masksmentioning

confidence: 99%

Section: Fig 2 Initialization Masksmentioning

confidence: 99%

Section: Introductionmentioning

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Section: Introductionmentioning

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Insights into Titan's geology and hydrology based on enhanced image processing of Cassini RADAR data

Lucas

Aharonson

Deledalle

et al. 2014

J. Geophys. Res. Planets

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The Cassini Synthetic Aperture Radar has been acquiring images of Titan's surface since October 2004. To date, 59% of Titan's surface has been imaged by radar, with significant regions imaged more than once. Radar data suffer from speckle noise hindering interpretation of small-scale features and comparison of reimaged regions for change detection. We present here a new image analysis technique that combines a denoising algorithm with mapping and quantitative measurements that greatly enhance the utility of the data and offers previously unattainable insights. After validating the technique, we demonstrate the potential improvement in understanding of surface processes on Titan and defining global mapping units, focusing on specific landforms including lakes, dunes, mountains, and fluvial features. Lake shorelines are delineated with greater accuracy. Previously unrecognized dissection by fluvial channels emerges beneath shallow methane cover. Dune wavelengths and interdune extents are more precisely measured. A significant refinement in producing digital elevation models is shown. Interactions of fluvial and aeolian processes with topographic relief is more precisely observed and understood than previously. Benches in bathymetry are observed in northern sea Ligeia Mare. Submerged valleys show similar depth suggesting that they are equilibrated with marine benches. These new observations suggest a liquid level increase in the northern sea, which may be due to changes on seasonal or longer timescales.

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Image processing of multiphase images obtained via X‐ray microtomography: A review

Schlüter

Sheppard

Brown

et al. 2014

Water Resources Research

544

323

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Easier access to X-ray microtomography (lCT) facilities has provided much new insight from high-resolution imaging for various problems in porous media research. Pore space analysis with respect to functional properties usually requires segmentation of the intensity data into different classes. Image segmentation is a nontrivial problem that may have a profound impact on all subsequent image analyses. This review deals with two issues that are neglected in most of the recent studies on image segmentation: (i) focus on multiclass segmentation and (ii) detailed descriptions as to why a specific method may fail together with strategies for preventing the failure by applying suitable image enhancement prior to segmentation. In this way, the presented algorithms become very robust and are less prone to operator bias. Three different test images are examined: a synthetic image with ground-truth information, a synchrotron image of precision beads with three different fluids residing in the pore space, and a lCT image of a soil sample containing macropores, rocks, organic matter, and the soil matrix. Image blur is identified as the major cause for poor segmentation results. Other impairments of the raw data like noise, ring artifacts, and intensity variation can be removed with current image enhancement methods. Bayesian Markov random field segmentation, watershed segmentation, and converging active contours are well suited for multiclass segmentation, yet with different success to correct for partial volume effects and conserve small image features simultaneously.

show abstract

A Non-Local Algorithm for Image Denoising

Cited by 5,608 publications

References 14 publications

Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation

Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation

Insights into Titan's geology and hydrology based on enhanced image processing of Cassini RADAR data

Image processing of multiphase images obtained via X‐ray microtomography: A review

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