Presentation 1999/7/22
IFS Coding of Non-Homogeneous Fractal Images
Toshimizu ABIKO, Masayuki KAWAMATA,
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Abstract(in English) This paper proposes an encoding algorithm for iterated function system (IFS) coding of non-homogeneous fractal images with unequal probabilities. Moment based encoding algorithms for IFS coding of non-homogeneous fractal images require a solution of simultaneous algebraic equations that are difficult to handle with numerical root-finding methods. The proposed algorithm employs a variable elimination method using Grobner bases with floating point coefficients in order to derive a numerically solvable equation with a single unknown. The algorithm also employs a varying associated-probabilities method for the purpose of decreasing the computational complexity of calculating Grobner bases. An experimental result shows that the computational time for encoding the non-homogeneous fractal image "Curl" (256×256, 256 levels) is 207 sec on a PC with a 233MHz Pentium II processor.
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Keyword(in English) image coding / fractal / iterated function system / inverse problem / Grobner basis
Paper # CS99-72
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Conference Information
Committee CS
Conference Date 1999/7/22(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) IFS Coding of Non-Homogeneous Fractal Images
Sub Title (in English)
Keyword(1) image coding
Keyword(2) fractal
Keyword(3) iterated function system
Keyword(4) inverse problem
Keyword(5) Grobner basis
1st Author's Name Toshimizu ABIKO
1st Author's Affiliation Graduate School of Engineering, Tohoku University()
2nd Author's Name Masayuki KAWAMATA
2nd Author's Affiliation Graduate School of Engineering, Tohoku University
Date 1999/7/22
Paper # CS99-72
Volume (vol) vol.99
Number (no) 200
Page pp.pp.-
#Pages 8
Date of Issue