A Study on Multiresolution based Image Fusion Rules using Intuitionistic Fuzzy Sets

  • Tania Sultana Department of CSE, MBSTU,Tangail,Bangladesh
  • B. M Ashiqur Rahman Department of Textile, MBSTU,Tangail,Bangladesh
  • Mohammad Motiur Rahman Department of CSE, MBSTU,Tangail,Bangladesh
Keywords: Image fusion, wavelet transform, Intuitionistic fuzzy set, image analysis.


The purpose of image fusion is to create a single image that optimizes the amount of data also highlight the necessary information from two or more source images. There are various types of pixel based image fusion methods such as AVG, Principle Component Analysis (PCA), Intensity Hue Saturation (IHS), Brovey Transform (BT), Discrete Wavelet Transform (DWT) etc. But Stationary wavelet Transform (SWT) based fusion method provides better fusion result with less color distortion. On the other-hand, Intuitionistic Fuzzy Set (IFS) helps to remove the barrier of vagueness and uncertainties from the fused image. That is why; this paper focus several types of fusion methods using SWT with different IFS operations for find the better one that is helpful for human perception also for next generation image processing. 


[1] O. Prakash, A. kumar, A. khare,“Pixel-level image fusion scheme based on steerable pyramid wavelet transform using absolute maximum selection fusion rule”, International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT),IEEE,2014.
[2] S. Dammavalam, Seetha,H. Munaga,“ Iterative Image Fusion using Neuro Fuzzy Logic and Applications”,IEEE,2012.
[3] Feng, gang, Jin, ming, jun,“Comparative analysis of different methods for image enhancement”, springer, PP- 4563−4570,2014.
[4] N. Kathiresan , J. Samuel Manoharan,“ A Comparative Analysis of Fusion Techniques Based on Multi Resolution Transforms”,springer, PP- 61-65,2015.
[5] Abdulazeez,A. Razak Salleh,“ Complex Intuitionistic Fuzzy Sets”,International conference on fundamental and applied science, PP- 464-470,2012.
[6] P. A.Ejegwa, S.O. Akowe, P.M. Otene, J.M. Ikyule,“ An Overview On Intuitionistic Fuzzy Sets”, international journal of scientific & technology research volume 3, issue 3, march 2014.
[7] Z. Wang, D. Ziou, C. Armenakis, D. Li, and Q. Li,“ A Comparative Analysis of Image Fusion Methods”, IEEE transactions on geoscience and remote sensing, vol. 43, no. 6, June 2005.
[8] S. Broumi,P. Majumdar,F. Smarandache,“ New Operations on Intuitionistic Fuzzy Soft Sets based on Second Zadeh's logical Operators”, I.J. Information Engineering and Electronic Business, PP-25-31,2014.
[9] S. Dahiya, P. K. Garg, M. K. Jat ,“ A comparative study of various pixel based image fusion techniques as applied to an urban environment”, International Journal of Image and Data Fusion,Vol-4,No-3, PP-197-213,2013.
[10] K.T. Atanassov,“ intuitionistic fuzzy sets”, Fuzzy Sets and Systems, Elsevier ,PP-87-96,1986.
[11] S.Li, B.Yang, J.Hu,“performance comparison of different multi-resolution transforms for image fusion”, Elsevier,2014.
[12] M.D. Nandeesh and Dr.M. Meenakshi ,“Image Fusion Algorithms for Medical Images-A Comparison”, Bonfring International Journal of Advances in Image Processing, Vol. 5, No. 3, July 2015.
[13] S. Krishnamoorthy, K P Soman,“Implementation and Comparative Study of Image Fusion Algorithms”, International Journal of Computer Applications (0975 – 8887) Volume 9– No.2, November 2010.