Comparative Survey of Image Compression Methods Across Different Pixel Formats and Bit Depths

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0198412" target="_blank" >RIV/00216305:26230/26:0198412 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s11760-025-04579-6" target="_blank" >https://link.springer.com/article/10.1007/s11760-025-04579-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11760-025-04579-6" target="_blank" >10.1007/s11760-025-04579-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparative Survey of Image Compression Methods Across Different Pixel Formats and Bit Depths

Popis výsledku v původním jazyce

Image compression is essential to reduce memory requirements while maintaining a good visual quality of images. The size of raw data of a commonly used RGB 8-bit 4K image would be almost 25 MB, which is too large for efficient streaming, storing and processing. This paper mainly evaluates and compares the state-of-the-art lossy image compression methods. The survey of existing studies is supplemented by an experimental evaluation. The main contribution of this research is the comprehensive comparison taking into account different pixel formats. Modern video compression methods are also used, as they can compress a single image too. Real-life photos are compressed using existing encoders, and visual quality, compression ratio, and encoding speed are evaluated using several metrics. The novel video encoding VVC outperforms other methods in most of the cases. WebP seems to be a viable choice when video encoding is not an option. VVC, AV1, and XVC show very close results with H.265 slightly behind them. The computational complexity of VVC might be problematic when fast processing is necessary, and the other formats might be better options. The paper presents detailed results regarding visual quality, storage requirements, computational time, differences between the compression artifacts and pixel formats, etc.

Název v anglickém jazyce

Comparative Survey of Image Compression Methods Across Different Pixel Formats and Bit Depths

Popis výsledku anglicky

Image compression is essential to reduce memory requirements while maintaining a good visual quality of images. The size of raw data of a commonly used RGB 8-bit 4K image would be almost 25 MB, which is too large for efficient streaming, storing and processing. This paper mainly evaluates and compares the state-of-the-art lossy image compression methods. The survey of existing studies is supplemented by an experimental evaluation. The main contribution of this research is the comprehensive comparison taking into account different pixel formats. Modern video compression methods are also used, as they can compress a single image too. Real-life photos are compressed using existing encoders, and visual quality, compression ratio, and encoding speed are evaluated using several metrics. The novel video encoding VVC outperforms other methods in most of the cases. WebP seems to be a viable choice when video encoding is not an option. VVC, AV1, and XVC show very close results with H.265 slightly behind them. The computational complexity of VVC might be problematic when fast processing is necessary, and the other formats might be better options. The paper presents detailed results regarding visual quality, storage requirements, computational time, differences between the compression artifacts and pixel formats, etc.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Signal Image and Video Processing

ISSN

1863-1703

e-ISSN

1863-1711

Svazek periodika

19

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

13

Strana od-do

0-0

Kód UT WoS článku

001567113700044

EID výsledku v databázi Scopus

2-s2.0-105015101321