M
Marie-Line Alberi Morel
Researcher at Bell Labs
Publications - 19
Citations - 2312
Marie-Line Alberi Morel is an academic researcher from Bell Labs. The author has contributed to research in topics: Cellular network & 5G. The author has an hindex of 7, co-authored 16 publications receiving 1552 citations.
Papers
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Proceedings ArticleDOI
Low-complexity single-image super-resolution based on nonnegative neighbor embedding
TL;DR: The neighbor embedding SR algorithm so designed is shown to give good visual results, comparable to other state-of-the-art methods, while presenting an appreciable reduction of the computational time.
Journal ArticleDOI
Single-Image Super-Resolution via Linear Mapping of Interpolated Self-Examples
TL;DR: A novel example-based single-image superresolution procedure that upscales to high-resolution (HR) a given low-resolution input image without relying on an external dictionary of image examples, which turns out to give the best performance when considering objective metrics.
Proceedings ArticleDOI
Neighbor embedding based single-image super-resolution using Semi-Nonnegative Matrix Factorization
TL;DR: A novel method for single-image super-resolution (SR) based on a neighbor embedding technique which uses Semi-Nonnegative Matrix Factorization (SNMF) which is shown to have a more stable behavior than the use of LLE and lead to significantly higher PSNR values for the super-resolved images.
Proceedings ArticleDOI
Super-resolution using neighbor embedding of back-projection residuals
TL;DR: This paper presents a novel algorithm for neighbor embedding based super-resolution (SR), using an external dictionary, and considers singularly the various elements of the algorithm, and proves that each of them brings a gain on the final result.
Proceedings ArticleDOI
Video super-resolution via sparse combinations of key-frame patches in a compression context
TL;DR: The SR-based approach is shown to bring a certain gain for low bit-rates (consistent when all frames are encoded independently), i.e. when a poor encoding can actually benefit of the special processing of the intermediate frames, so proving that video SR can be an useful tool in realistic scenarios.