A Novel Defogging Algorithm Based on Genetic Algorithm with Analysis of Scientific Data Materials

Xiao Guang Li; Li Kang

doi:10.4028/www.scientific.net/AMR.461.806

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A Novel Defogging Algorithm Based on Genetic Algorithm with Analysis of Scientific Data Materials
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461A Novel Defogging Algorithm Based on Genetic...

A Novel Defogging Algorithm Based on Genetic Algorithm with Analysis of Scientific Data Materials

Abstract:

This paper proposes a novel defogging algorithm based on the improved model with analysis of scientific data materials. By integrating the merit of genetic algorithm for searching global optimal parameters, the problem of fog-degraded images defogging restoration is transformed into the problem of optimization estimation for original undegraded image by maximizing the global contrast object function, the proposed algorithm can restore the object image as complete as possible in probability sense. Experimental results for single object image defogging gain satisfy visual effect.

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Periodical:

Advanced Materials Research (Volume 461)

Pages:

806-809

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.806

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Online since:

February 2012

Authors:

Xiao Guang Li, Li Kang

Keywords:

Defogging, Fitness Function, Genetic Algorithm (GA), Scientific Materials

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References

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