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Generalized inpainting method for hyperspectral image acquisition

Abstract: A recently designed hyperspectral imaging device enables multiplexed acquisition of an entire data volume in a single snapshot thanks to monolithically-integrated spectral filters. Such an agile imaging technique comes at the cost of a reduced spatial resolution and the need for a demosaicing procedure on its interleaved data.
2015 Proc. ICIP 2015
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Mitigating memory requirements for random trees/ferns

Abstract: Randomized sets of binary tests have appeared to be quite effective in solving a variety of image processing and vision problems. The exponential growth of their memory usage with the size of the sets however hampers their implementation on the memory-constrained hardware generally available on low-power embedded systems.
2015 Proceedings of the IEEE International Conference on Image Processing
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Pilots allocation for sparse channel estimation in multicarrier systems

2015 Proceedings of the Symposium on Information Theory in the Benelux, (Brussels, Belgium)
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Post-reconstruction deconvolution of PET images by total generalized variation regularization

Abstract: Improving the quality of positron emission tomography (PET) images, affected by low resolution and high level of noise, is a challenging task in nuclear medicine and radiotherapy. This work proposes a restoration method, achieved after tomographic reconstruction of the images and targeting clinical situations where raw data are often not accessible.
2015 Proc EUSIPCO
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A modified 4D ROOSTER method using the Chambolle-Pock algorithm

Abstract: The 4D RecOnstructiOn using Spatial and TEmpo- ral Regularization method is a recent 4D cone beam computed tomography algorithm. 4D ROOSTER has not been rigorously proved to converge. This paper aims to reformulate it using the Chambolle & Pock primal-dual optimization scheme.
2014 Proc. of the Third International Conference on Image Formation in X-Ray Computed Tomography
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A sparse smoothing approach for Gaussian mixture model based acoustic-to-articulatory inversion

Abstract: It is well-known that the performance of the Gaussian mixture model (GMM) based acoustic-to-articulatory inversion (AAI) improves by either incorporating smoothness constraint directly in the inversion criterion or smoothing (low-pass filtering) estimated articulator tra- jectories in a post-processing step, where smoothing is performed independently of the inversion.
2014 Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
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Compressive Hyperspectral Imaging by Out-of-Focus Modulations and Fabry-Pérot Spectral Filters

Abstract: We describe a compressive hyperspectral imaging scheme that randomly convolves each spectral band of the data cube. This independent sensing of each wavelength relies on a tiling of Fabry-Pérot filters incorporated in the CMOS pixel grid.
2014 “Proceedings of the second “international Traveling Workshop on Interactions between Sparse models and Technology” (iTWIST'14)”
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Robust phase unwrapping by convex optimization

Abstract: The 2-D phase unwrapping problem aims at retrieving a “phase” image from its modulo 2π observations. Many applications, such as interferometry or synthetic aperture radar imaging, are concerned by this problem since they proceed by recording complex or modulated data from which a “wrapped” phase is extracted.
2014 Image Processing (ICIP), 2014 IEEE International Conference on
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Bits of Images: Inverting Local Image Binary Descriptors

(print (nth 5 (org-heading-components))) Abstract: Local Binary Descriptors (LBDs) are good at matching image parts, but what information is actually carried? This question is usually masked by a comparison of matching performances.
2013 Bits of Images: Inverting Local Image Binary Descriptors
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Compressive Acquisition of Sparse Deflectometric Maps

Abstract: Schlieren deflectometry aims at measuring deflections of light rays from transparent objects, which is subsequently used to characterize the objects. With each location on a smooth object surface a sparse deflection map (or spectrum) is associated.
2013 Proceedings of the 10th International Conference on Sampling Theory and Applications (SampTA)
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