Presentation 1997/12/11
Iterated Transformation Theory-Based Coding Using Fractal-Dimension Based Block Classification
Ho-Cheon Wey, Masayuki KAWAMATA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes an ITT image coding method using fractal dimension (FD)-based block classification. The blocks taken from the original images are first classified into two classes based on their fractal dimensions. Then the range-domain comparison is carried out only within the blocks that belong to the same class. Moreover, the number of the searched blocks can be further decreased by exploiting the fractal signature distance as a criteria to determine whether the calculation of the correlation between the range block and domain blocks should be carried out or not. Experimental results show that the proposed method offers a 10 - 20 times faster compression speed than the full search method with only a PSNR loss of about 0.5 dB.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Iterated Transformation Theory-Based Coding / Fractal Dimension / Fractal Signature
Paper # IE97-105
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Committee IE
Conference Date 1997/12/11(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Iterated Transformation Theory-Based Coding Using Fractal-Dimension Based Block Classification
Sub Title (in English)
Keyword(1) Iterated Transformation Theory-Based Coding
Keyword(2) Fractal Dimension
Keyword(3) Fractal Signature
1st Author's Name Ho-Cheon Wey
1st Author's Affiliation Department of Electrical Communications Engineering, Graduate School of Engineering, Tohoku University()
2nd Author's Name Masayuki KAWAMATA
2nd Author's Affiliation Department of Electronic Engineering, Graduate School of Engineering, Tohoku University
Date 1997/12/11
Paper # IE97-105
Volume (vol) vol.97
Number (no) 429
Page pp.pp.-
#Pages 6
Date of Issue