Optimized Fuzzy Transform for Image Compression
| Autor: | Mária Minárová, Aranzazu Jurio, Daniel Paternain, Zdenko Takáč, Javier Ruiz-Aranguren, Humberto Bustince |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Optimization problem Texture compression Computer science Fractal transform Gravitational search algorithm 02 engineering and technology Fuzzy logic Domain (software engineering) Image (mathematics) 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm Image compression |
| Zdroj: | Advances in Fuzzy Logic and Technology 2017 ISBN: 9783319668260 EUSFLAT/IWIFSGN (3) |
| DOI: | 10.1007/978-3-319-66827-7_11 |
| Popis: | In this work we propose an image compression algorithm based on the fuzzy transform. The algorithm tries to find the best fuzzy partition of the functions domain in order to obtain the best compressed image (in terms of quality). To solve the optimization problem we based ourselves in the Gravitational Search Algorithm, in which each agent represents a possible fuzzy partition of a fixed size. |
| Databáze: | OpenAIRE |
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