PERFORMANCE IMPROVING OF FRACTAL ENCODING BASED ON PERCEPTUAL HASH FUNCTIONS.
Authors:
1.
Bryanskiy gosudarstvennyy tehnicheskiy universitet
(docent)
Type:
Article
Pages:
from 141
to 145
Status:
Published
Received:
05.12.2016
Accepted:
05.12.2016
Published:
05.12.2016
Language:
Russian
Keywords:
fractals, iterated functions system, image recognition, image fractal code, perceptual hashing, fractal encoding based on perceptual hash functions.
Abstract (English):
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.
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.
Keywords:
fractals, iterated functions system, image recognition, image fractal code, perceptual hashing, fractal encoding based on perceptual hash functions.
fractals, iterated functions system, image recognition, image fractal code, perceptual hashing, fractal encoding based on perceptual hash functions.
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