Image fusion using Wavelet Transform: A Review

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Vinay Sahu
Vinay Sahu
σ
Dinesh Sahu
Dinesh Sahu
α Rajiv Gandhi Technical University Rajiv Gandhi Technical University

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Image fusion using Wavelet Transform: A Review

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Abstract

An Image fusion is the development of amalgamating two or more image of common characteristic to form a single image which acquires all the essential features of original image. Nowadays lots of work is going to be done on the field of image fusion and also used in various application such as medical imaging and multi spectra sensor image fusing etc. For fusing the image various techniques has been proposed by different author such as wavelet transform, IHS and PCA based methods etc. In this paper literature of the image fusion with wavelet transform is discussed with its merits and demerits.

References

20 Cites in Article
  1. Zheng Hong,Zheng Dequen,H Yanxianag,Sheng Li (2010). Study on the Optimal Parameters of Image Fusion Based on Wavelet Transform.
  2. G Smt,L Mamatha,Gayatri (2012). An Image Fusion Using Wavelet And Curvelet Transforms.
  3. Hadi Khazaei,Danesh Khazaei,Davin Ashraf,Shravani Mikkilineni,John Ng (1999). Overview of Orbital Ultrasonography.
  4. Shutao Li,James Kwok,Yaonan Wang (2001). Combination of images with diverse focuses using the spatial frequency.
  5. S Kor,U Tiwary (2004). Feature level fusion of multimodal medical images in lifting wavelet transform domain.
  6. A Gunatilaka,B Baertlein (2001). Feature-level and decision-level fusion of non coincidently sampled sensors for land mine detection.
  7. Daljit Kaur,P S Mann Medical Image Fusion Using Gaussian Filter, Wavelet Transform and Curvelet Transform Filtering.
  8. Miloud Chikr El-Mezouar,Nasreddine Taleb,Kidiyo Kpalma,Joseph Ronsin (2011). An IHS-Based Fusion for Color Distortion Reduction and Vegetation Enhancement in IKONOS Imagery.
  9. K Chetan,Solanki,M Narendra,Patel Pixel based and Wavelet based Image fusion Methods with their Comparative Study.
  10. Rudra Pratapsinghchauhan,Rajiva Dwivedi,Sandeep Negi (2012). Comparative Evaluation of DWT and DT-CWT for Image Fusion and De-noising.
  11. Dr Ajeesh P Sasi,Latha Parameswaran (2013). Modified Approach of Multimodal Medical Image Using Daubechies Wavelet Transform.
  12. J Srikanth,*,C Sujatha (2013). Image Fusion Based on Wavelet Transform for Medical Diagnosis.
  13. Ch,P Bhanusree,Ratna Aditya,Chowdary (2013). A Novel Approach of image fusion MRI and CT image using Wavelet family.
  14. Kanaka Raju Penmetsa,V Prasad Naraharisetti,N Venkata,Rao (2012). An Image Fusion Technique For Colour Images Using Dual-Tree Complex Wavelet Transform.
  15. Patil Gaurav,Jaywantrao,Shabahat Hasan (2012). Application of Image Fusion Using Wavelet Transform In Target Tracking System.
  16. C Pavithra,Dr Bhargavi (2013). Fusion of Two Images Based on Wavelet Transform.
  17. Hasan Demirel,Gholamreza Anbarjafari (2010). Satellite Image Resolution Enhancement Using Complex Wavelet Transform.
  18. Rajiv Singh,Ashish Khare (2013). Multimodal medical image fusion using daubechies complex wavelet transform.
  19. D Bull,C Canagarajah,M Halliwell,P Wells,S Nikolov (1999). Image fusion using a 3-D wavelet transform.
  20. Ai Deng,Jin Wu,Shen Yang (2011). An Image Fusion Algorithm Based on Discrete Wavelet Transform and Canny Operator.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Vinay Sahu. 2014. \u201cImage fusion using Wavelet Transform: A Review\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F5): .

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Issue Cover
GJCST Volume 14 Issue F5
Pg. 21- 28
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Version of record

v1.2

Issue date

December 31, 2014

Language
en
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An Image fusion is the development of amalgamating two or more image of common characteristic to form a single image which acquires all the essential features of original image. Nowadays lots of work is going to be done on the field of image fusion and also used in various application such as medical imaging and multi spectra sensor image fusing etc. For fusing the image various techniques has been proposed by different author such as wavelet transform, IHS and PCA based methods etc. In this paper literature of the image fusion with wavelet transform is discussed with its merits and demerits.

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Image fusion using Wavelet Transform: A Review

Vinay Sahu
Vinay Sahu Rajiv Gandhi Technical University
Dinesh Sahu
Dinesh Sahu

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