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Multi Focus Region-Based Image Fusion Using Differential Evolution Algorithm Variants

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Computational Vision and Bio Inspired Computing

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 28))

Abstract

This work focuses on an optimum process of image fusion on multiple focus images using an optimization algorithm viz., Differential Evolution (DE) algorithm. The input image is divided into regions and sharper regions are selected from these two images. The selected clear blocks are used for constructing final resultant image. The main purpose of using differential evolution algorithm is to find out optimum block size, which is more useful during division of image rather than fixed block size. And also, this work compares different variants of differential evolution algorithm based image fusion to find out which one will be suitable for getting more focused image. The major focus of the research is finding out which type of differential evolution algorithm is best suitable for almost all type of images. Block based and pixel based method are used together to achieve a better resultant image. Performance of fused image is calculated using image quality measures and found out better fusion method, which can be used in almost all situations.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    K. C. Haritha & S. Thangavelu

Authors
  1. K. C. Haritha
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  2. S. Thangavelu
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Correspondence to S. Thangavelu .

Editor information

Editors and Affiliations

  1. Karunya University , Coimbatore, Tamil Nadu, India

    D. Jude Hemanth

  2. RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

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Haritha, K.C., Thangavelu, S. (2018). Multi Focus Region-Based Image Fusion Using Differential Evolution Algorithm Variants. In: Hemanth, D., Smys, S. (eds) Computational Vision and Bio Inspired Computing . Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71767-8_50

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  • DOI: https://doi.org/10.1007/978-3-319-71767-8_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71766-1

  • Online ISBN: 978-3-319-71767-8

  • eBook Packages: EngineeringEngineering (R0)

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