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Title:
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TUNING A GENETIC ALGORITHM FOR WAVELET SIGN PREDICTION |
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Author(s):
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Antonio Martí Campoy, Francisco Rodríguez-Ballester, Otoniel López, Manuel Pérez Malumbres |
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ISBN:
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978-989-8533-14-2 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Genetic algorithms, parameter tuning, wavelets, image coding, sign coding |
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Type:
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Full Paper |
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First Page:
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275 |
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Last Page:
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282 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Discrete Wavelet Transform has proved to be a powerful tool for image compression because it is able to compact frequency and spatial localization of image energy into a small fraction of coefficients. In recent years coefficient sign coding has been used to improve image compression. The potential correlation between the sign of a coefficient and the signs of its neighbours opens the possibility to use a sign predictor to improve the image compression process. However, this relationship is not uniform and constant for any image. This work presents the tuning of a genetic algorithm in the search of an efficient predictor. This tuning process consists in the evaluation of several genetic algorithm variations created using different combinations of operators, input parameters and workload. Results from this work allow promoting some design strategies in order to devise a genetic algorithm highly immune to input parameters. |
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