FloCIC: A Few Lines of Code for Raster Image Compression

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969962" target="_blank" >RIV/49777513:23520/23:43969962 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1099-4300/25/3/533" target="_blank" >https://www.mdpi.com/1099-4300/25/3/533</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/e25030533" target="_blank" >10.3390/e25030533</a>

Result language

angličtina

Original language name

FloCIC: A Few Lines of Code for Raster Image Compression

Original language description

A new approach is proposed for lossless raster image compression employing interpolative coding. A new multifunction prediction scheme is presented first. Then, interpolative coding, which has not been applied frequently for image compression, is explained briefly. Its simplification is introduced in regard to the original approach. It is determined that the JPEG LS predictor reduces the information entropy slightly better than the multi-functional approach. Furthermore, the interpolative coding was moderately more efficient than the most frequently used arithmetic coding. Finally, our compression pipeline is compared against JPEG LS, JPEG 2000 in the lossless mode, and PNG using 24 standard grayscale benchmark images. JPEG LS turned out to be the most efficient, followed by JPEG 2000, while our approach using simplified interpolative coding was moderately better than PNG. The implementation of the proposed encoder is extremely simple and can be performed in less than 60 lines of programming code.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/GF23-04622L" target="_blank" >GF23-04622L: Data compression paradigm based on omitting self-evident information - COMPROMISE</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

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

Name of the periodical

Entropy

ISSN

1099-4300

e-ISSN

1099-4300

Volume of the periodical

25

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

1-15

UT code for WoS article

000955506400001

EID of the result in the Scopus database

2-s2.0-85152653951