APPLICATION OF YUV COLOR MODEL IN REAL-TIME IMAGE PROCESSING

This article discusses the use of the YUV color model for real-time image processing. This model, due to its ability to separate brightness and color information, is widely used in video compression tasks, as well as in video surveillance systems, video conferencing and other real-time applications. The advantages and disadvantages of YUV compared to other color models, such as RGB, are considered. The article describes subsampling and filtering methods, and provides examples of its effective application in various fields, including video systems and media platforms. Particular attention is paid to the possibilities of its use in virtual and augmented reality.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-03
DOI
https://doi.org/10.5281/zenodo.14030668
Primary Topic
Technology and Human Factors in Education and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

APPLICATION OF YUV COLOR MODEL IN REAL-TIME IMAGE PROCESSING

Zenodo (CERN European Organization for Nuclear Research)
Technology and Human Factors in Education and Health
article

APPLICATION OF YUV COLOR MODEL IN REAL-TIME IMAGE PROCESSING

article en

Abstract

This article discusses the use of the YUV color model for real-time image processing. This model, due to its ability to separate brightness and color information, is widely used in video compression tasks, as well as in video surveillance systems, video conferencing and other real-time applications. The advantages and disadvantages of YUV compared to other color models, such as RGB, are considered. The article describes subsampling and filtering methods, and provides examples of its effective application in various fields, including video systems and media platforms. Particular attention is paid to the possibilities of its use in virtual and augmented reality.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Technology and Human Factors in Education and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

APPLICATION OF YUV COLOR MODEL IN REAL-TIME IMAGE PROCESSING · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS