Image compression methodology based on fuzzy transform using block similarity

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 561
EP  - 566
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.79
DO  - 10.2991/eusflat.2013.79
ID  - Hurtik2013/08
ER  -