Computationally Efficient Light Field Image Compression using a Multiview HEVC Framework

SND-ID: 2024-325. Version: 1. DOI: https://doi.org/10.5878/nqax-bz32

Citation

Creator/Principal investigator(s)

Waqas Ahmad - Mid Sweden University

Research principal

Mid Sweden University rorId

Description

This software package describes the Light Field (LF) Coding Framework proposed by Ahmad et al. in published paper, "Computationally efficient light field image compression using a multiview HEVC framework", IEEE Access September 2019. The coding framework reads the input LF image, generates multiview sequences, encodes the generated sequences using MVHEVC encoder and finally produces the decoded Mat files. The Mat files contain decoded LF structure, PSNR information and size (in bytes) of the compressed LF image. The detail information of the proposed coding framework is explained in the user manual which is placed inside the MIUN_LFCF Folder. The continuous development of proposed coding framework can be followed on Github project (link provided under other Homepage).

The dataset was originally published in DiVA and moved to SND in 2024.

Data contains personal data

No

Language

Method and outcome
Data collection
Geographic coverage
Administrative information

Identifiers

Topic and keywords

Research area

Engineering and technology (Standard för svensk indelning av forskningsämnen 2011)

Publications
Published: 2024-06-25