- News
- Subject and Goals
- Council and Annual Reports
- Contacts and Working Groups
- Lectures and Presentations
- Conferences and Seminars
- Publications
- Application Demos
- International Travels
- Visitors
- Past Events
- E-Synergy Login
SEARCH
MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
An image coding/decoding method based on direct and inverse fuzzy transforms
Typ:
Jornal article
Authors:
Di Martino F., Loia V., Perfilieva I., Sessa S.
Name of journal:
International Journal of Appr. reasoning
Batch:
1
Year:
2008
Number:
48
Pages:
110-131
ISSN:
0888-613X
Keywords:
Fuzzy sets, Fuzzy logic, Approximation method, Image coding,
Anotation:
With some modifications, we adopt the coding/decoding method of image processing based on the direct and inverse fuzzy transforms defined in previous papers. We have considered 100 images of sizes 256 x 256 (pixels) extracted from the wellknown database Corel Galery (Arizona Directory). A comparison with the coding/decoding method of image processing based on the fuzzy relation equations with the Lukasiewicz triangular norm is also presented. By using the same compression rate in both methods, the results show that the PSNR obtained with the usage of direct and inverse fuzzy transforms is higher than the PSNR determined with fuzzy relation equations.