Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

Image compression methodology based on fuzzy transform using block similarity

Authors
Petr Hurtik, Irina Perfilieva
Corresponding Author
Petr Hurtik
Available Online August 2013.
DOI
https://doi.org/10.2991/eusflat.2013.79How to use a DOI?
Keywords
Image compression F-transform Image similarity
Abstract
The aim of the work is to continue in improvement of the image compression based on the F-transform. The image is decomposed into blocks and characterized by the F-transform components. The latter constitutes a simple lossy compression. For better quality of reconstructed images, we compress certain areas (neighborhoods of edges) non-lossy. The proposed approach is based on establishing similarity between various blocks and making compression of only one representative. Last but not least, the proposed compression algorithm is supplied with smart technique of joining adjacent blocks.
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Proceedings
8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-78-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2013.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Petr Hurtik
AU  - Irina Perfilieva
PY  - 2013/08
DA  - 2013/08
TI  - Image compression methodology based on fuzzy transform using block similarity
BT  - 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.79
DO  - https://doi.org/10.2991/eusflat.2013.79
ID  - Hurtik2013/08
ER  -