Please use this identifier to cite or link to this item:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/38066
Title: | 基於全變差去雜訊的基因演算法 Genetic Algorithm for total variation based denoising problem |
Authors: | Yu-Guo Liu 劉于國 |
Advisor: | 陳宜良(I-Liang Chern) |
Keyword: | 基因演算法,全變差, Genetic Algorithm,Total Variation, |
Publication Year : | 2008 |
Degree: | 碩士 |
Abstract: | In this paper we develope a new method based on the genetic algorithm to solve the total variation-based denoising problems. First, we briefly describe the genetic algorithm and some backgrounds of the total variation-based denoising problems. Second, we start to develope the genetic algorithm for the TV-based denoising problem. Finally we show some numerical results to demonstrate this method is fast. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/38066 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 數學系 |
Files in This Item:
File | Size | Format | |
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ntu-97-1.pdf Restricted Access | 774.05 kB | Adobe PDF |
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