
Performance improving of fractal encoding based on perceptual hash functions.
Author(s) -
Василий Гулаков,
Vasiliy Gulakov,
Сергей Клепинин,
Sergey Klepinin
Publication year - 2014
Publication title -
vestnik brânskogo gosudarstvennogo tehničeskogo universiteta
Language(s) - English
Resource type - Journals
ISSN - 1999-8775
DOI - 10.12737/23050
Subject(s) - fractal , encoding (memory) , computer science , implementation , fractal compression , hash function , image (mathematics) , perception , theoretical computer science , artificial intelligence , image processing , mathematics , image compression , software engineering , computer security , neuroscience , biology , mathematical analysis
The application of fractal encodingfor image recognition is considered, system requirements to computing resources of classic fractal encoding system implementation is analyzed. The proposal for improving performance characteristics is suggested and implemented, obtained results and comparison of two implementations are provided in the last part of article.