Research Article Open Access

Efficient Image Integration Technique: Mismatch of Subjective and Objective Analysis

Setika Mehra1, Ayush Dogra2, Bhawna Goyal3, Apoorav Maulik Sharma3, Rahul Shukla2 and Shivendra Singh4
  • 1 Amritsar College of Engineering and Technology, India
  • 2 Indian Institute of Technology (CBME), India
  • 3 Panjab University, India
  • 4 Lovely Professional University, India

Abstract

The paper intends to extract features with high visual quality during image fusion. An improved image fusion algorithm is presented, aiming to preserve necessary features and relevant information, simultaneously focusing on highly enhanced visual results. The resultant fused image obtained is superior to other images obtained from other state-of-the-art techniques with respect to visual quality. A novel and improved image fusion algorithm is presented, which outperforms the other eight state-of-the-art techniques of image fusion. The proposed methodology includes a combinational approach of anisotropic diffusion and Laplacian pyramid leading to image enhancement. The paper also reveals a contradiction of the visual results with respect to objective results.

Journal of Computer Science
Volume 15 No. 10, 2019, 1490-1497

DOI: https://doi.org/10.3844/jcssp.2019.1490.1497

Submitted On: 30 July 2019 Published On: 19 October 2019

How to Cite: Mehra, S., Dogra, A., Goyal, B., Sharma, A. M., Shukla, R. & Singh, S. (2019). Efficient Image Integration Technique: Mismatch of Subjective and Objective Analysis. Journal of Computer Science, 15(10), 1490-1497. https://doi.org/10.3844/jcssp.2019.1490.1497

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Keywords

  • Image Fusion
  • Anisotropic Diffusion
  • Spatial Filters
  • Laplacian Pyramid Average Fusion Rule