Light field image compression using generative adversarial network-based view synthesis
Light field (LF) has become an attractive representation of immersive multimedia content for
simultaneously capturing both the spatial and angular information of the light rays. In this …
simultaneously capturing both the spatial and angular information of the light rays. In this …
Lenslet light field image coding: Classifying, reviewing and evaluating
In recent years, visual sensors have been quickly improving, notably targeting richer
acquisitions of the light present in a visual scene. In this context, the so-called lenslet light …
acquisitions of the light present in a visual scene. In this context, the so-called lenslet light …
Optimized inter-view prediction based light field image compression with adaptive reconstruction
In this paper, we explore the structure of light field (LF) and efficiently improve the
performance of the pseudo sequence based lenslet image compression, by optimized sub …
performance of the pseudo sequence based lenslet image compression, by optimized sub …
Macro-pixel prediction based on convolutional neural networks for lossless compression of light field images
I Schiopu, A Munteanu - 2018 25th IEEE International …, 2018 - ieeexplore.ieee.org
The paper introduces a novel macro-pixel prediction method based on Convolutional Neural
Networks (CNN) for lossless compression of light field images. In the proposed method …
Networks (CNN) for lossless compression of light field images. In the proposed method …
Dictionary learning-based, directional, and optimized prediction for lenslet image coding
In this paper, a novel approach to encode lenslet (LL) images is proposed. The method
departs from traditional block-based coding structures and employs a hexagonal-shaped …
departs from traditional block-based coding structures and employs a hexagonal-shaped …
Learning-based high-efficiency compression framework for light field videos
The massive amount of data usage for light field (LF) information poses grand challenges for
efficient compression designs. There have been several LF video compression methods …
efficient compression designs. There have been several LF video compression methods …
LF-CAE: Context-adaptive encoding for lenslet light fields using HEVC
Light fields can outperform the representability of current imaging technologies by
considering the angle of light-rays striking in the camera in addition to the color information …
considering the angle of light-rays striking in the camera in addition to the color information …
Lossless compression of plenoptic camera sensor images
We propose a codec for the lossless compression of plenoptic camera sensor images. The
proposed encoder starts by splitting the input lenslet image into rectangular patches, with …
proposed encoder starts by splitting the input lenslet image into rectangular patches, with …
Efficient directional and L1-optimized intra-prediction for light field image compression
Light field images can be conveniently captured by consumer-level plenoptic cameras.
However, as the resulting data rates are very high, providing efficient compression for this …
However, as the resulting data rates are very high, providing efficient compression for this …
Lenslet Image Coding With SAIs Synthesis via 3D CNNs-Based Reinforcement Learning With a Rate Reward
The deep learning-based coding schemes for lenslet images combine coding standards and
view synthesis through Deep Learning (DL) models, where the compression efficiency is …
view synthesis through Deep Learning (DL) models, where the compression efficiency is …