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JCR 2016
جستجوی مقالات
پنجشنبه 29 آبان 1404
Iranian Journal of Fuzzy Systems
، جلد ۱، شماره ۱، صفحات ۳۳-۴۲
عنوان فارسی
ON A LOSSY IMAGE COMPRESSION/RECONSTRUCTION METHOD BASED ON FUZZY RELATIONAL EQUATIONS
چکیده فارسی مقاله
The pioneer work of image compression/reconstruction based on
fuzzy relational equations (ICF) and the related works are introduced. The
ICF regards an original image as a fuzzy relation by embedding the brightness
level into [0,1]. The compression/reconstruction of ICF correspond to the
composition/solving inverse problem formulated on fuzzy relational equations.
Optimizations of ICF can be consequently deduced based on fuzzy relational
calculus, i.e., computation time reduction/improvement of reconstructed image
quality are correspond to a fast solving method/finding an approximate
solution of fuzzy relational equations, respectively. Through the experiments
using test images extracted from Standard Image DataBAse (SIDBA), the
effectiveness of the ICF and its optimizations are shown.
کلیدواژههای فارسی مقاله
Fuzzy relation، Fuzzy Relational Equation، Lossy Image Compression/ Reconstruction، Ordered Structure،
عنوان انگلیسی
ON A LOSSY IMAGE COMPRESSION/RECONSTRUCTION METHOD BASED ON FUZZY RELATIONAL EQUATIONS
چکیده انگلیسی مقاله
The pioneer work of image compression/reconstruction based on
fuzzy relational equations (ICF) and the related works are introduced. The
ICF regards an original image as a fuzzy relation by embedding the brightness
level into [0,1]. The compression/reconstruction of ICF correspond to the
composition/solving inverse problem formulated on fuzzy relational equations.
Optimizations of ICF can be consequently deduced based on fuzzy relational
calculus, i.e., computation time reduction/improvement of reconstructed image
quality are correspond to a fast solving method/finding an approximate
solution of fuzzy relational equations, respectively. Through the experiments
using test images extracted from Standard Image DataBAse (SIDBA), the
effectiveness of the ICF and its optimizations are shown.
کلیدواژههای انگلیسی مقاله
نویسندگان مقاله
kaoru hirota |
kaoru hirota, department of computational intelligence and systems science, tokyo institute of technology, yokohama, 226-8502, japan
hajime nobuhara |
department of computational intelligence and systems science, tokyo institute of technology, yokohama, 226-8502, japan
kazuhiko kawamoto |
department of computational intelligence and systems science, tokyo institute of technology, yokohama, 226-8502, japan
shin ایچی yoshida | shin ichi
department of computational intelligence and systems science, tokyo institute of technology, yokohama, 226-8502, japan
نشانی اینترنتی
http://ijfs.usb.ac.ir/article_492_8bdd764324150deeaa297f1c8f750e1f.pdf
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