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Dual Discrete Wavelet Transform Based Image Fusion Using Averaging Principal Component

  • Ujjawala Yati
  • Mantosh Biswas
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 524)

Abstract

Image fusion is a process of combining two or more images into one, in order to obtain more relevant data or information from it. In this paper, we have proposed dual discrete wavelet transform (DDWT)-based image fusion method in frequency domain with averaging the principal component analysis that overcomes the spatial distortion, blocking artifact, and shift variance of the fusion methods. The results of the proposed method have been promising for qualitative and quantitative evaluations that are performed on subjective and objective criteria, respectively, which are shared in the experimental results for considered test images over fusion methods.

Keywords

Image enhancement Image fusion DDWT Principal component analysis 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Engineering KurukshetraNational Institute of Technology KurukshetraKurukshetraIndia

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