Assessment of Image Quality for Remotely Sensed Fused Images

R. Maruthi*, K. Sankarasubramanian**
* Senior Lecturer, MCA Dept., Velammal Engineering College, Surapet, Chennai.
** Professor, Dept. of Mathematics, Sri Sai Ram Engineering College, Thambaram, Chennai.
Periodicity:February - April'2008
DOI : https://doi.org/10.26634/jfet.3.3.636

Abstract

Image fusion is a concept of combining multiple images into composite products, through which more information than that of individual input images can be revealed. The ultimate goal of fused image quality evaluation is to find out the consistence between subjective and objective measures, which can be obtained only by large amount of test images. The aim of this paper is to develop a quantitative measure that will consistently be used as a substitute.

Keywords

Image Fusion, Remote Sensing, Quality Metrics.

How to Cite this Article?

R. Maruthi and K. Sankarasubramanian (2008). Assessment of Image Quality for Remotely Sensed Fused Images. i-manager’s Journal on Future Engineering and Technology, 3(3), 1-4. https://doi.org/10.26634/jfet.3.3.636

References

[1]. S. Li, J.T. Kwok, Y. Wang, Combination of images with diverse focuses using the spatial frequency. Inf. Fusion 2 (2001)169-176.
[2]. http://www.ablen.com/hosting/imagefusion/ publications/theses/canga-msc- 2002.pdf.
[3]. J. W. Huang, Y. Q. Shi and X. H. Dai, "A segmentation- based image coding algorithm using the features of human vision system". Journal of Image and Graphics, 1999, vol.4(A), no.5, pp.400-404.
[4]. Li Youping, Xu Qingfen, Bian Guoliang, "Study on Quality Evaluation of Compressed Remote Sensing Images" Beijing Remote Sensing Information Institute,
[5]. G. Piella and H. A Heijmans, A new quality metric for image fusion. International Conference on Image Processing, ICIP, Barcelona, 2003.
[6], Bijay Shrestha, Charles G. O’Hara, Nicolas H. Younan, Jpeg2000: Image Quality Metrics, Asprs 2005 Annual Conference Baltimore, Maryland, March 7-11,2005.
[7]. Zhou Wang and Alan C. BovikLigang Lu, Why Is Image Quality Assessment So Difficult? research was supported in part by IBM Corporation, Inc,, Texas Instruments, Inc., and by State of Texas Advanced Technology Program.
[8]. Zhang, Z., Blum, R.S., Image fusion for a digital camera application. Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on Volume 1, Issue , 1 -4 Nov 1998 Page(s):603-607.
[9], J. Zeng*, A. Sayedelahl, T. Gilmore, R Frazier and M. Chouikha, Assessing Image Fusion Methods For Unconstrained Outdoor Scenes, Department of Electrical and Computer Engineering, Howard University, Washington, DC 20059.
[10]. Zhijun Wang, Deren Li, A Image Fusion Method: Improve the Spatial Resolution While Preserve the Color, Wuhan Technical University of Surveying and Mapping Wuhan, Hubei, RR. China.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.