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 |
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Conference Date | 1997/12/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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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 |
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