, learning of deep cnn for image denoising, IEEE Transactions on Image Processing, vol.26, pp.3142-3155, 2017.

C. Zuo, Y. Liu, X. Tan, W. Wang, and M. Zhang, «Video denoising based on a spatiotemporal Kalman-bilateral mixture model, The Scientific World Journal, vol.2013, 2013.

P. Arias, G. Facciolo, and J. Morel, «A Comparison of Patch-Based Models in Video Denoising, » chez 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018.

A. Buades and J. Lisani, Video Denoising with Optical Flow Estimation,» Image Processing On Line, vol.8, pp.142-166, 2018.

K. Dabov, A. Foi, and K. Egiazarian, «Video denoising by sparse 3D transform-domain collaborative filtering,» chez 2007 15th European Signal Processing Conference, 2007.

M. Maggioni, G. Boracchi, A. Foi, and K. Egiazarian, «Video denoising using separable 4D nonlocal spatiotemporal transforms,» chez Image Processing: Algorithms and Systems IX, 2011.

P. Arias and J. Morel, Towards a bayesian video denoising method,» chez International Conference on Advanced Concepts for Intelligent Vision Systems, 2015.

S. G. Pfleger, P. D. Plentz, R. C. Rocha, A. D. Pereira, and M. Castro, «Real-time video denoising on multicores and GPUs with Kalman-based and Bilateral filters fusion, Journal of Real-Time Image Processing, pp.1-14, 2017.

. Liang, Real-Time Video Denoising on Mobile Phones,» chez 2018 25th IEEE International Conference on Image Processing (ICIP), 2018.

C. Liu and W. T. Freeman, «A high-quality video denoising algorithm based on reliable motion estimation, » chez European Conference on Computer Vision, 2010.

A. Petreto, A. Hennequin, T. Koehler, T. Romera, Y. Fargeix et al., Energy and Execution Time Comparison of Optical Flow Algorithms on SIMD and GPU Architectures,» chez 2018 Conference on Design and Architectures for Signal and Image Processing, 2018.

T. Kroeger, R. Timofte, D. Dai, and L. V. Gool, «Fast Optical Flow using Dense Inverse Search,» chez (ECCV), 2016.

A. Plyer, G. L. Besnerais, and F. Champagnat, Massively parallel Lucas Kanade optical flow for real-time video processing applications,» Journal of Real-Time Image Processing, Vols. %1 sur %211, vol.4, pp.713-730, 2016.

M. Kunz, A. Ostrowski, and P. Zipf, «An FPGAoptimized architecture of horn and schunck optical flow algorithm for real-time applications, » chez International Conference on Field Programmable Logic and Applications (FPL), 2014.

L. Bako, S. Hajdu, S. Brassai, F. Morgan, and C. Enachescu, «Embedded Implementation of a Real-Time Motion Estimation Method in Video Sequences, » Procedia Technology, vol.22, pp.897-904, 2016.

. Middlebury,

C. Zach, T. Pock, and H. Bischof, «A duality based approach for realtime TV-L 1 optical flow,» chez Joint Pattern Recognition Symposium, 2007.

B. D. Lucas and T. , Kanade et others, «An iterative image registration technique with an application to stereo vision, 1981.

C. Tomasi and R. Manduchi, «Bilateral filtering for gray and color images,» chez null, 1998.

A. Davy, T. Ehret, G. Facciolo, J. Morel, and P. Arias, Non-Local Video Denoising by CNN, 2018.

. Derf, Derf's Test Media Collection

L. Lacassagne, D. Etiemble, A. Hassan-zahraee, A. Dominguez, and P. Vezolle, High Level Transforms for SIMD and low-level computer vision algorithms,» chez ACM Workshop on Programming Models for SIMD/Vector Processing (PPoPP), 2014.

H. Ye, L. Lacassagne, D. Etiemble, L. Cabaret, J. Falcou et al., Impact of High Level Transforms on High Level Synthesis for motion detection algorithm,» chez IEEE International Conference on Design and Architectures for Signal and Image Processing (DASIP), 2012.

H. Ye, L. Lacassagne, J. Falcou, D. Etiemble, and L. , Cabaret et O. Florent, «High Level Transforms to reduce energy consumption of signal and image processing operators,» chez IEEE International Workshop on Power and Timing Modeling, Optimization and Simulation, 2013.

F. C. Crow, «Summed-area tables for texture mapping, » chez ACM SIGGRAPH computer graphics, 1984.

N. Rambaux, D. Galayko, G. Guignan, J. Vaubaillon, L. Lacassagne et al.,

D. Mariscal, J. Portela-moreira, and J. Raffard,

T. Rault, C. Romera, B. Tob, and . Zanda, «METEORIX: a cubesat mission dedicated to the detection of meteors, » chez 42nd Assembly of Committee on Space Research (COSPAR), 2018.

N. Rambaux, J. Vaubaillon, L. Lacassagne, D. Galayko, G. Guignan et al., «Meteorix: a cubesat mission dedicated to the detection of meteors and space debris, » chez ESA Space Safety Programme Office, 2019.

T. Q. Pham and L. J. Van-vliet, Separable bilateral filtering for fast video preprocessing,» chez 2005 IEEE International Conference on Multimedia and Expo, 2005.

N. N. Schraudolph, «A fast, compact approximation of the exponential function, Neural Computation, vol.11, pp.853-862, 1999.

B. K. Horn and B. G. Schunk, » ACM Computing Surveys (CSUR), vol.17, pp.185-203, 1981.

S. Piskorski, L. Lacassagne, S. Bouaziz, and D. Etiemble, «Customizing CPU instructions for embedded vision systems,» chez Computer Architecture, Machine Perception and Sensors (CAMPS), 2006.

L. Lacassagne, D. Etiemble, and S. Kablia, «16-bit Floating Point Instructions for embedded Multimedia Applications,» chez CAMP: Computer Architecture and Machine Perception, 2005.

D. Etiemble, L. Lacassagne, and S. Bouaziz, «Customizing 16-bit floating point instruction on a NIOS II processor for FPGA image and media processing,» chez Estimedia -Embedded Systems for Real-Time Multimedia, 2005.

D. Etiemble and L. Lacassagne, Introducing image processing and SIMD computations with FPGA soft-cores and customized instructions,» chez Workshop on Reconfigurable Computing Education (WRCE), 2006.

K. Aneja, F. Laguzet, L. Lacassagne, and A. Merigot, «Video rate image segmentation by means of region splitting and merging, » chez IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2009.

L. Lacassagne and D. Etiemble, «16-bit floating point operations for low-end and high-end embedded processors,» chez ODES: Optimizations for DSP and Embedded Systems, 2005.