Color discrimination problems in digital TV systems. - Fritz Lebowsky; Marina Nicolas (Color Imaging: Processing, Hardcopy, and Applications, 2005)

Delicate visual artifacts of advanced digital video processing algorithms. - Marina Nicolas; Fritz Lebowsky (Human Vision and Electronic Imaging, 2005)

Improvement of Conventional Deinterlacing Methods with Extrema Detection and Interpolation. - Jérôme Roussel; Pascal Bertolino; Marina Nicolas (ACIVS, 2006)

Handling of annoying variations of performances in video algorithm optimization. - Marina Nicolas (Human Vision and Electronic Imaging, 2006)

The blur effect: perception and estimation with a new no-reference perceptual blur metric. - Frederique Crete; Thierry Dolmiere; Patricia Ladret; Marina Nicolas (Human Vision and Electronic Imaging, 2007)

Improvement of deblocking corrections on flat areas and proposal for a low-cost implementation. - Frederique Crete; Marina Nicolas; Patricia Ladret (VISAPP (1), 2007)

Image interpolation based on a multi-resolution directional map. - Eric Van Reeth; Pascal Bertolino; Marina Nicolas (Image Processing: Algorithms and Systems, 2011)

Preserving color fidelity for display devices using scalable memory compression architecture for text, graphics, and video. - Fritz Lebowsky; Marina Nicolas (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2014)

Optimizing color fidelity for display devices using vectorized interpolation steered locally by perceptual error quantities. - Marina Nicolas; Fritz Lebowsky (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2015)

Preserving color fidelity in real-time color image compression using a ranking naturalness criterion. - Marina Nicolas; Fritz Lebowsky (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2016)

Speeding-up CNN inference through dimensionality reduction. - Lucas Fernández Brillet; Nicolas Leclaire; Stéphane Mancini; Sébastien Cleyet-Merle; Marina Nicolas; Jean-Paul Henriques; Claude Delnondedieu (DASIP, 2019)

Tunable CNN Compression Through Dimensionality Reduction. - Lucas Fernández Brillet; Stéphane Mancini; Sébastien Cleyet-Merle; Marina Nicolas (ICIP, 2019)

Compression and Speed-up of Convolutional Neural Networks Through Dimensionality Reduction for Efficient Inference on Embedded Multiprocessor. - Lucas Fernández Brillet; Nicolas Leclaire; Stéphane Mancini; Marina Nicolas; Sébastien Cleyet-Merle; Jean-Paul Henriques; Claude Delnondedieu (J. Signal Process. Syst., 2022)