Analysis of Problems in Spatial Characteristics of Small-Format Cameras for Applied Television

this scientific article analyzes the problems arising from the use of small-format cameras in applied television. The study aims to identify and describe key issues affecting image quality and the operational efficiency of these cameras. The spatial characteristics of small-format cameras, such as resolution, dynamic range, light sensitivity, and other technical parameters influencing image quality, were examined. Major issues identified include insufficient image resolution, low light sensitivity, and limited dynamic range. The article also explores potential methods for improving image quality, such as using additional equipment, adjusting camera settings, and developing specialized image processing algorithms. These findings may benefit both manufacturers of small-format cameras and professionals in applied television, enabling them to better understand technical limitations and develop enhanced multifunctional camera models.

Authors

Institutions

Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/synchroinfo65403.2025.11079394
Citations
1
Primary Topic
Satellite Image Processing and Photogrammetry
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Problems in Spatial Characteristics of Small-Format Cameras for Applied Television

A. V. Balobanov, Dmitry V. Marchenko
1 citations
Satellite Image Processing and Photogrammetry
1.15
article

Analysis of Problems in Spatial Characteristics of Small-Format Cameras for Applied Television

A. V. Balobanov, Dmitry V. Marchenko
article en
1 citations

Abstract

this scientific article analyzes the problems arising from the use of small-format cameras in applied television. The study aims to identify and describe key issues affecting image quality and the operational efficiency of these cameras. The spatial characteristics of small-format cameras, such as resolution, dynamic range, light sensitivity, and other technical parameters influencing image quality, were examined. Major issues identified include insufficient image resolution, low light sensitivity, and limited dynamic range. The article also explores potential methods for improving image quality, such as using additional equipment, adjusting camera settings, and developing specialized image processing algorithms. These findings may benefit both manufacturers of small-format cameras and professionals in applied television, enabling them to better understand technical limitations and develop enhanced multifunctional camera models.

Moscow Technical University of Communication and Informatics (RU)
Openalex Percentile: Top 21%
Satellite Image Processing and Photogrammetry
1.15
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.