CFP last date
20 May 2024
Reseach Article

Color Channel Normalization and Fuzzy Filter based Image Fusion in Discrete Wavelet Domain

by Mandeep Kaur, Aarti
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 151 - Number 5
Year of Publication: 2016
Authors: Mandeep Kaur, Aarti
10.5120/ijca2016911820

Mandeep Kaur, Aarti . Color Channel Normalization and Fuzzy Filter based Image Fusion in Discrete Wavelet Domain. International Journal of Computer Applications. 151, 5 ( Oct 2016), 33-37. DOI=10.5120/ijca2016911820

@article{ 10.5120/ijca2016911820,
author = { Mandeep Kaur, Aarti },
title = { Color Channel Normalization and Fuzzy Filter based Image Fusion in Discrete Wavelet Domain },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 151 },
number = { 5 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume151/number5/26233-2016911820/ },
doi = { 10.5120/ijca2016911820 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:56:20.081278+05:30
%A Mandeep Kaur
%A Aarti
%T Color Channel Normalization and Fuzzy Filter based Image Fusion in Discrete Wavelet Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 151
%N 5
%P 33-37
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Multi-focus image fusion has appeared as a significant subject in computer perspective and picture handling neighborhood because the visual contacts have a decreasing target range. Multi-focus picture fusion method have been commonly utilised in machine vision, targeting, object acceptance, medical imaging and military affairs. In nearly all past image fusion study, the origin images are thought as completely aligned. But still it has some issues which are neglected for image fusion. This paper proposes two level Discrete Wavelet Transformation (DWT). The proposed methodology has indicated really significant improvements around available ones.

References
  1. Liu, Yan, and Feihong Yu. "An automatic image fusion algorithm for unregistered multiply multi-focus images." Optics Communications 341 (2015): 101-113.
  2. Leung, Yee, Junmin Liu, and Jiangshe Zhang. "An Improved Adaptive Intensity–Hue–Saturation Method for the Fusion of Remote Sensing Images." (2014): 1-5.
  3. Sruthy, S., Latha Parameswaran, and Ajeesh P. Sasi. “Image Fusion Technique using DT-CWT.” In Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Conference on, pp. 160-164. IEEE, 2013.
  4. Y.AsnathVictyPhamila, R.Amutha. “Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks.” In Signal Processing, 2013 International Conference on, pp.161-170. IEEE, 2013.
  5. Desale, Rajenda Pandit, and Sarita V. Verma. “Study and analysis of PCA, DCT & DWT based image fusion techniques.” In Signal Processing Image Processing & Pattern Recognition (ICSIPR), 2013 International Conference on, pp. 66-69. IEEE, 2013.
  6. Hossny, Mohammed, et al "Image fusion metrics: evolution in a nutshell."ComputerModelling and Simulation (UKSim), 2013 UKSim 15th International Conference on.IEEE, 2013.
  7. Li, Shutao, Xudong Kang, and Jianwen Hu. "Image fusion with guided filtering."IEEE transactions on image processing: a publication of the IEEE Signal Processing Society 22.7 (2013): 2864-2875.
  8. Prakash, Om, RichaSrivastava, and AshishKhare "Biorthogonal wavelet transform based image fusion using absolute maximum fusion rule." Information & Communication Technologies (ICT), 2013 IEEE Conference on.IEEE, 2013.
  9. Gupta, Vivek Kumar, AmitNeog, and S. K. Katiyar "Analysis of image fusion techniques over multispectral and microwave SAR images." Communications and Signal Processing (ICCSP), 2013 International Conference on.IEEE, 2013.
  10. Phamila, Y., and R. Amutha "Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks." Signal Processing 95 (2014): 161-170.
  11. Parmar, K., &Kher, R (2012, May). A comparative analysis of multimodality medical image fusion methods.In Modelling Symposium (AMS), 2012 Sixth Asia (pp. 93-97).IEEE.
  12. Tao, Ling, and Zhi-Yu Qian. "An improved medical image fusion algorithm based on wavelet transforms." Natural Computation (ICNC), 2011 Seventh International Conference on. Vol. 1. IEEE, 2011.
  13. Desale, Rajenda Pandit, and Sarita V. Verma. "Study and analysis of PCA, DCT & DWT based image fusion techniques" IEEE International Conference on Signal Processing Image Processing & Pattern Recognition (ICSIPR), Coimbatore, pp. 66-69, 7-8 Feb., 2013.
  14. Albuquerque, Hugo R., Tsang Ing Ren, and George DC Cavalcanti. "Image Fusion Combining Frequency Domain Techniques Based on Focus." Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on. Vol. 1. IEEE, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Image Fusion 2DWT Color Normalization Noises Fuzzy Filters.