Mikael Le Pendu

According to our database, Mikael Le Pendu authored at least 33 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent.

Rita Fermanian, Mikael Le Pendu, Christine Guillemot

SIAM J. Imaging Sci., June, 2023

Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration.

Mikael Le Pendu, Christine Guillemot

SIAM J. Imaging Sci., March, 2023

Joint Fourier Disparity Layers Unrolling With Learned View Synthesis for Light Field Reconstruction From Few-Shots Focal Stacks.

Brandon Le Bon, Mikaël Le Pendu, Christine Guillemot

IEEE Access, 2023

Unrolled Fourier Disparity Layer Optimization for Scene Reconstruction from Few-Shots Focal Stacks.

Brandon Le Bon, Mikaël Le Pendu, Christine Guillemot

Proceedings of the IEEE International Conference on Acoustics, 2023

Stochastic Unrolled Proximal Point Algorithm for Linear Image Inverse Problems.

Brandon Le Bon, Mikaël Le Pendu, Christine Guillemot

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Learned Gradient of a Regularizer for Plug-and-Play Gradient Descent.

Rita Fermanian, Mikael Le Pendu, Christine Guillemot

CoRR, 2022

2021

Focus Guided Light Field Saliency Estimation.

Ailbhe Gill, Emin Zerman, Martin Alain, Mikael Le Pendu, Aljosa Smolic

Proceedings of the 13th International Conference on Quality of Multimedia Experience, 2021

Light Field Visual Attention Prediction Using Fourier Disparity Layers.

Ailbhe Gill, Mikael Le Pendu, Martin Alain, Emin Zerman, Aljosa Smolic

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

Regularizing the Deep Image Prior with a Learned Denoiser for Linear Inverse Problems.

Rita Fermanian, Mikael Le Pendu, Christine Guillemot

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

2020

High Quality Light Field Extraction and Post-Processing for Raw Plenoptic Data.

Pierre Matysiak, Mairéad Grogan, Mikaël Le Pendu, Martin Alain, Emin Zerman, Aljosa Smolic

IEEE Trans. Image Process., 2020

Local Low Rank Approximation With a Parametric Disparity Model for Light Field Compression.

Elian Dib, Mikaël Le Pendu, Xiaoran Jiang, Christine Guillemot

IEEE Trans. Image Process., 2020

Scene Flow Estimation From Sparse Light Fields Using a Local 4D Affine Model.

Pierre David, Mikaël Le Pendu, Christine Guillemot

IEEE Trans. Computational Imaging, 2020

Angularly Consistent Light Field Video Interpolation.

Pierre David, Mikaël Le Pendu, Christine Guillemot

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Hierarchical Fourier Disparity Layer Transmission For Light Field Streaming.

Mikael Le Pendu, Cagri Ozcinar, Aljosa Smolic

Proceedings of the IEEE International Conference on Image Processing, 2020

High Resolution Light Field Recovery with Fourier Disparity Layer Completion, Demosaicing, and Super-Resolution.

Mikael Le Pendu, Aljosa Smolic

Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

2019

A Fourier Disparity Layer Representation for Light Fields.

Mikaël Le Pendu, Christine Guillemot, Aljosa Smolic

IEEE Trans. Image Process., 2019

Light Field Compression Using Fourier Disparity Layers.

Elian Dib, Mikaël Le Pendu, Christine Guillemot

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Sparse to Dense Scene Flow Estimation From Light Fields.

Pierre David, Mikaël Le Pendu, Christine Guillemot

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Super-Ray Based Low Rank Approximation for Light Field Compression.

Elian Dib, Mikael Le Pendu, Xiaoran Jiang, Christine Guillemot

Proceedings of the Data Compression Conference, 2019

2018

Light Field Inpainting Propagation via Low Rank Matrix Completion.

Mikael Le Pendu, Xiaoran Jiang, Christine Guillemot

IEEE Trans. Image Process., 2018

High Dynamic Range Light Fields via Weighted Low Rank Approximation.

Mikaël Le Pendu, Christine Guillemot, Aljosa Smolic

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Pipeline for Lenslet Light Field Quality Enhancement.

Pierre Matysiak, Mairéad Grogan, Mikael Le Pendu, Martin Alain, Aljosa Smolic

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Depth Estimation with Occlusion Handling from a Sparse Set of Light Field Views.

Xiaoran Jiang, Mikaël Le Pendu, Christine Guillemot

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Light Field Compression With Homography-Based Low-Rank Approximation.

Xiaoran Jiang, Mikael Le Pendu, Reuben A. Farrugia, Christine Guillemot

IEEE J. Sel. Top. Signal Process., 2017

White lenslet image guided demosaicing for plenoptic cameras.

Pierre David, Mikael Le Pendu, Christine Guillemot

Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

Light field compression using depth image based view synthesis.

Xiaoran Jiang, Mikael Le Pendu, Christine Guillemot

Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

Homography-based low rank approximation of light fields for compression.

Xiaoran Jiang, Mikael Le Pendu, Reuben A. Farrugia, Sheila S. Hemami, Christine Guillemot

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Backward compatible approaches for the compression of high dynamic range videos. (Approches rétro-compatibles pour la compression de vidéos à grande gamme dynamique).

Mikael Le Pendu

PhD thesis, 2016

Inter-Layer Prediction of Color in High Dynamic Range Image Scalable Compression.

Mikael Le Pendu, Christine Guillemot, Dominique Thoreau

IEEE Trans. Image Process., 2016

2015

Local Inverse Tone Curve Learning for High Dynamic Range Image Scalable Compression.

Mikael Le Pendu, Christine Guillemot, Dominique Thoreau

IEEE Trans. Image Process., 2015

Template based inter-layer prediction for high dynamic range scalable compression.

Mikael Le Pendu, Christine Guillemot, Dominique Thoreau

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Adaptive re-quantization for high dynamic range video compression.

Mikael Le Pendu, Christine Guillemot, Dominique Thoreau

Proceedings of the IEEE International Conference on Acoustics, 2014

Rate distortion optimized tone curve for high dynamic range compression.

Mikael Le Pendu, Christine Guillemot, Dominique Thoreau

Proceedings of the 22nd European Signal Processing Conference, 2014