Light field is a type of image data that captures the 3D scene informati...
Light fields are a type of image data that capture both spatial and angu...
In this paper, we propose a novel light field compression method based o...
The Plug-and-Play (PnP) framework allows integrating advanced image deno...
Plug-and-Play optimization recently emerged as a powerful technique for
...
Axial light field resolution refers to the ability to distinguish featur...
In this article, we present a very lightweight neural network architectu...
The paper addresses the problem of energy compaction of dense 4D light f...
Graph-based transforms have been shown to be powerful tools in terms of ...
In this paper, we present a new Light Field representation for efficient...
This paper describes a set of neural network architectures, called Predi...
Sparse representations using overcomplete dictionaries have proved to be...
This paper explores the problem of learning transforms for image compres...
Light field imaging has recently known a regain of interest due to the
a...
In this paper, we propose a novel scheme for scalable image coding based...
Most face super-resolution methods assume that low-resolution and
high-r...
Local learning of sparse image models has proven to be very effective to...
Supervised manifold learning methods for data classification map data sa...