Search Results for author: Martin Alain

Found 7 papers, 0 papers with code

View Sub-sampling and Reconstruction for Efficient Light Field Compression

no code implementations12 Aug 2022 Yang Chen, Martin Alain, Aljosa Smolic

In this work, we study different sub-sampling and reconstruction strategies for light field compression.

Spectral analysis of re-parameterized light fields

no code implementations12 Oct 2021 Martin Alain, Aljosa Smolic

In this paper, we study the spectral properties of re-parameterized light field.

Self-supervised Light Field View Synthesis Using Cycle Consistency

no code implementations12 Aug 2020 Yang Chen, Martin Alain, Aljosa Smolic

In order to enhance the angular resolution of light fields, view synthesis methods can be utilized to generate dense intermediate views from sparse light field input.

Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields

no code implementations11 Aug 2020 Yang Chen, Martin Alain, Aljosa Smolic

Depth map estimation is a crucial task in computer vision, and new approaches have recently emerged taking advantage of light fields, as this new imaging modality captures much more information about the angular direction of light rays compared to common approaches based on stereoscopic images or multi-view.

Depth Estimation Optical Flow Estimation

A Study of Efficient Light Field Subsampling and Reconstruction Strategies

no code implementations11 Aug 2020 Yang Chen, Martin Alain, Aljosa Smolic

Limited angular resolution is one of the main obstacles for practical applications of light fields.

Super-Resolution

A Pipeline for Lenslet Light Field Quality Enhancement

no code implementations16 Aug 2018 Pierre Matysiak, Mairéad Grogan, Mikaël Le Pendu, Martin Alain, Aljosa Smolic

In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing.

Denoising

Scalable image coding based on epitomes

no code implementations28 Jun 2016 Martin Alain, Christine Guillemot, Dominique Thoreau, Philippe Guillotel

In this paper, we propose a novel scheme for scalable image coding based on the concept of epitome.

Super-Resolution

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