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An Image Fusion Algorithm Based on Modified Regional Consistency and Similarity Weighting

  • Tingting Yang
  • Peiyu Fang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10996)

Abstract

We propose an image fusion algorithm based on modified regional consistency and similarity weighting to fuse two multi-focus images with strict registration of the same scene. The algorithm decomposes source image with the shift-invariant discrete wavelet transform (SIDWT) and obtain high frequency components and low frequency component. The regional energy consistency is used in high frequency fusion. The saliency map of multi-focus images is calculated with spectral residual (SR), and combine the similarity weighting method to fuse low frequency coefficient. The simulation results show that the improved algorithm is an effective image fusion algorithm. In terms of visual effects, fusion image keeps details and advances the vagueness. Compared with fusion algorithms based on regional consistency and similarity weighting, its objective evaluation indicators, such as standard deviation and mutual information are also improved.

Keywords

Multi-focus image fusion SIDWT Regional energy consistency Similarity weighting Spectral residual (SR) 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Beijing University of Posts and TelecommunicationsBeijingChina

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