Abstract
Background: With today’s emerging world of technology, fusion is the key factor in every field, especially in the field of medical and remote sensing. By fusing two or more images, we get necessary useful data in a particular fused image. So it is the best technique to remove noise data from those images.
Methods: Noise or Blurring are those unwanted data that affects the quality of an image in terms of clarity. There are numerous methods for image fusion that can be used to eliminate noise or blurring that gives best results in the form of the fused image.
Conclusion: In this paper, diverse techniques have been reviewed, studied and compared to discover the limitations of multiple image fusion techniques.
Keywords: Image fusion, spatial domain, transform (frequency) domain, information, fusion, feature.
Recent Advances in Computer Science and Communications
Title:A Concise Review on Latest Methods of Image Fusion
Volume: 14 Issue: 7
Author(s): Kapil Joshi, Manoj Diwakar*, N.K. Joshi and Sumita Lamba
Affiliation:
- Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun,India
Keywords: Image fusion, spatial domain, transform (frequency) domain, information, fusion, feature.
Abstract:
Background: With today’s emerging world of technology, fusion is the key factor in every field, especially in the field of medical and remote sensing. By fusing two or more images, we get necessary useful data in a particular fused image. So it is the best technique to remove noise data from those images.
Methods: Noise or Blurring are those unwanted data that affects the quality of an image in terms of clarity. There are numerous methods for image fusion that can be used to eliminate noise or blurring that gives best results in the form of the fused image.
Conclusion: In this paper, diverse techniques have been reviewed, studied and compared to discover the limitations of multiple image fusion techniques.
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Cite this article as:
Joshi Kapil , Diwakar Manoj *, Joshi N.K. and Lamba Sumita , A Concise Review on Latest Methods of Image Fusion, Recent Advances in Computer Science and Communications 2021; 14 (7) . https://dx.doi.org/10.2174/2213275912666200214113414
DOI https://dx.doi.org/10.2174/2213275912666200214113414 |
Print ISSN 2666-2558 |
Publisher Name Bentham Science Publisher |
Online ISSN 2666-2566 |
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