2.2k citations · 2.7k across the 28 of their papers we have counts for
17 papers · 1 filter
Noisy image decomposition: a new structure, texture and noise model based on local adaptivity
Jerome Gilles
These last few years, image decomposition algorithms have been proposed to split an image into two parts: the structures and the textures. These algorithms are not adapted to the c…
Restoration algorithms and system performance evaluation for active imagers
Jerome Gilles
This paper deals with two fields related to active imaging system. First, we begin to explore image processing algorithms to restore the artefacts like speckle, scintillation and i…
Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution
Jerome Gilles, Tristan Dagobert, Carlo De Franchis
A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a blind dec…
Fried deconvolution
Jerome Gilles, Stanley Osher
In this paper we present a new approach to deblur the effect of atmospheric turbulence in the case of long range imaging. Our method is based on an analytical formulation, the Frie…
Turbulence stabilization
Yu Mao, Jerome Gilles
We recently developed a new approach to get a stabilized image from a sequence of frames acquired through atmospheric turbulence. The goal of this algorihtm is to remove the geomet…
Non rigid geometric distortions correction -- Application to atmospheric turbulence stabilization
Yu Mao, Jerome Gilles
A novel approach is presented to recover an image degraded by atmospheric turbulence. Given a sequence of frames affected by turbulence, we construct a variational model to charact…
Detection and tracking of gas plumes in LWIR hyperspectral video sequence data
Torin Gerhart, Justin Sunu, Ekaterina Merkurjev +3
Automated detection of chemical plumes presents a segmentation challenge. The segmentation problem for gas plumes is difficult due to the diffusive nature of the cloud. The advanta…
Wavelet Burst Accumulation for turbulence mitigation
Jerome Gilles, Stanley Osher
In this paper, we investigate the extension of the recently proposed weighted Fourier burst accumulation (FBA) method into the wavelet domain. The purpose of FBA is to reconstruct…
Open Turbulent Image Set (OTIS)
Nicholas B. Ferrante, Jerome Gilles
Long distance imaging is subject to the impact of the turbulent atmosphere. This results into geometric distortions and some blur effect in the observed frames. Despite the existen…
Bregman implementation of Meyer's norm for cartoon + textures decomposition
Jerome Gilles, Stanley Osher
In this paper, we design a very simple algorithm based on Split Bregman iterations to numerically solve the cartoon + textures decomposition model of Meyer. This results in a signi…
Investigation of moving objects through atmospheric turbulence from a non-stationary platform
Nicholas Ferrante, Jerome Gilles, Shibin Parameswaran
In this work, we extract the optical flow field corresponding to moving objects from an image sequence of a scene impacted by atmospheric turbulence \emph{and} captured from a movi…
Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation
Yuan Huang, Fugen Zhou, Jerome Gilles
In this paper, we propose a new approach to perform supervised texture classification/segmentation. The proposed idea is to feed a Fully Convolutional Network with specific texture…
Detection of moving objects through turbulent media. Decomposition of Oscillatory vs Non-Oscillatory spatio-temporal vector fields
Jerome Gilles, Francis Alvarez, Nicholas B. Ferrante +4
In this paper, we investigate how moving objects can be detected when images are impacted by atmospheric turbulence. We present a geometric spatio-temporal point of view to the pro…
Evaluation of neural network algorithms for atmospheric turbulence mitigation
Tushar Jain, Madeline Lubien, Jerome Gilles
A variety of neural networks architectures are being studied to tackle blur in images and videos caused by a non-steady camera and objects being captured. In this paper, we present…
Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets
Yuan Huang, Valentin De Bortoli, Fugen Zhou +1
Wavelet-based segmentation approaches are widely used for texture segmentation purposes because of their ability to characterize different textures. In this paper, we assess the in…
A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes
Yves van Gennip, Prashant Athavale, Jérôme Gilles +1
QR bar codes are prototypical images for which part of the image is a priori known (required patterns). Open source bar code readers, such as ZBar, are readily available. We exploi…
A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation
Jérôme Gilles, Kathryn Heal
In this paper, we present an algorithm to automatically detect meaningful modes in a histogram. The proposed method is based on the behavior of local minima in a scale-space repres…