Publications related to Single Image Reflection Suppression

Patch-based methods for variational image processing problems

Image Processing problems are notoriously difficult. To name a few of these difficulties, they are usually ill-posed, involve a huge number of unknowns (from one to several per pixel!), and images cannot be considered as the linear superposition of a few p ...

EPFL2013

Laplacian Meshes for Monocular 3D Shape Recovery

Pascal Fua, Aydin Varol, Tien Dat Ngo, Jonas Olof Martin Östlund

We show that by extending the Laplacian formalism, which was first introduced in the Graphics community to regularize 3D meshes, we can turn the monocular 3D shape reconstruction of a deformable surface given correspondences with a reference image into a w ...

2012

Efficient Image Reconstruction Under Sparsity Constraints With Application To Mri And Bioluminescence Tomography

Michaël Unser, Matthieu Guerquin-Kern, Jean-Charles Baritaux

Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical model of the measurement system. Due to the ill-posedness of the above problem ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Efficient Image Reconstruction Under Sparsity Constraints with Application to MRI and Bioluminescence Tomography

Michaël Unser, Matthieu Guerquin-Kern, Jean-Charles Baritaux

Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical model of the measurement system. Due to the ill-posedness of the above proble ...

IEEE2011

Plenoptic based super-resolution for omnidirectional image sequences

Pascal Frossard, Pierre Vandergheynst, Luigi Bagnato

This paper addresses the reconstruction of high resolution omnidirectional images from a low resolution video acquired by an omnidirectional camera moving in a static scene. In order to exploit the additional information provided by the side images in the ...

2010

Joint reconstruction of correlated images from compressed linear measurements

Pascal Frossard, Vijayaraghavan Thirumalai

This paper proposes a joint reconstruction algorithm for compressed correlated images that are given under the form of linear measurements. We first propose a geometry based model in order to describe the correlation between visual information in pairs of ...

2010

Segmenting memory colours

Sabine Süsstrunk, Francisco Estrada

Memory colours refer to the colour of specific image classes that have the essential attribute of being perceived in a consistent manner by human observers. In colour correction or rendering tasks, this consistency implies that they have to be faithfully r ...

2008

Dynamic PET Reconstruction Using Wavelet Regularization with Adapted Basis Functions

Michaël Unser, Dimitri Nestor Alice Van De Ville, Ildar Khalidov

Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an

\ell_{ 1 }

-regularization constraint, which favors sparse solutions in the wavelet dom ...

Institute of Electrical and Electronics Engineers2008

Optimized scattering compensation for time-of-flight camera

Heinz Hügli

Recent time-of-flight (TOF) cameras allow for real-time acquisition of range maps with good performance. However, the accuracy of the measured range map may be limited by secondary light reflections. Specifically, the range measurement is affected by scatt ...

2007

Internal illumination prediction based on a simplified radiosity algorithm

Darren Robinson

This paper describes a new model for predicting natural interior illumination in the urban context. A simplified radiosity algorithm is used to define the external luminous environment and this model structure is used to predict internal illumination from ...

2006

Single Image Reflection Suppression

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Patch-based methods for variational image processing problems

Laplacian Meshes for Monocular 3D Shape Recovery

Efficient Image Reconstruction Under Sparsity Constraints With Application To Mri And Bioluminescence Tomography

Efficient Image Reconstruction Under Sparsity Constraints with Application to MRI and Bioluminescence Tomography

Plenoptic based super-resolution for omnidirectional image sequences

Joint reconstruction of correlated images from compressed linear measurements

Segmenting memory colours

Dynamic PET Reconstruction Using Wavelet Regularization with Adapted Basis Functions

Optimized scattering compensation for time-of-flight camera

Internal illumination prediction based on a simplified radiosity algorithm

Joint reconstruction of correlated images from compressed linear measurements

Segmenting memory colours

Optimized scattering compensation for time-of-flight camera

Efficient Image Reconstruction Under Sparsity Constraints with Application to MRI and Bioluminescence Tomography

Internal illumination prediction based on a simplified radiosity algorithm

Dynamic PET Reconstruction Using Wavelet Regularization with Adapted Basis Functions

Efficient Image Reconstruction Under Sparsity Constraints With Application To Mri And Bioluminescence Tomography

Laplacian Meshes for Monocular 3D Shape Recovery

Patch-based methods for variational image processing problems

Plenoptic based super-resolution for omnidirectional image sequences