Genetic Algorithm for total variation based denoising problem
Date Issued
2008
Date
2008
Author(s)
Liu, Yu-Guo
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.
Subjects
Genetic Algorithm
Total Variation
Type
thesis
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ntu-97-R94221022-1.pdf
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