Result Details
Comparative Survey of Image Compression Methods Across Different Pixel Formats and Bit Depths
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.
image, compression, codec, photography, pixel format
@article{BUT198412,
author="Tomáš {Chlubna} and Pavel {Zemčík}",
title="Comparative Survey of Image Compression Methods Across Different Pixel Formats and Bit Depths",
journal="Signal Image and Video Processing",
year="2025",
volume="19",
number="12",
pages="13",
doi="10.1007/s11760-025-04579-6",
issn="1863-1703",
url="https://link.springer.com/article/10.1007/s11760-025-04579-6"
}