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Artificial Immune System Based Image Enhancement Technique

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 320))

Abstract

Artificial immune system (AIS) inspired by immune system of vertebrates can be used for solving optimization problem. In this paper, image enhancement is considered as a problem of optimization and AIS is used to solve and find the optimal solution of this problem. Here, image enhancement is done by enhancing the pixel intensities of the images through a parameterized transformation function. The main task is to achieve the best enhanced image with the help of AIS by optimizing the parameters. The results have proved better when compared with other standard enhancement techniques like Histogram equalization (HE) and Linear Contrast Stretching (LCS).

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Correspondence to Susmita Ganguli .

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© 2015 Springer International Publishing Switzerland

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Ganguli, S., Mahapatra, P.K., Kumar, A. (2015). Artificial Immune System Based Image Enhancement Technique. In: El-Alfy, ES., Thampi, S., Takagi, H., Piramuthu, S., Hanne, T. (eds) Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-319-11218-3_1

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  • DOI: https://doi.org/10.1007/978-3-319-11218-3_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11217-6

  • Online ISBN: 978-3-319-11218-3

  • eBook Packages: EngineeringEngineering (R0)

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