JOURNAL BROWSE
Search
Advanced SearchSearch Tips
An Adaptive Guided Filter for Performance Improvement of Aviation Image Fusion
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
An Adaptive Guided Filter for Performance Improvement of Aviation Image Fusion
Kim, Sun Young; Kang, Chang Ho; Park, Chan Gook;
  PDF(new window)
 Abstract
In this paper, an aviation image fusion method is proposed for creating an informative fused image through gray scale images within noise. The proposed method is based on an adaptive guided filter which adjusts regulation parameter of the filter based on peak signal noise ratio (PSNR) in order to behave as an edge-preserving filtering property. Simulation results demonstrate that the proposed method preserves the edge information of the input image and reduces the noise effect while maintaining designed PSNR.
 Keywords
Adaptive Guided Filter;PSNR;Regulation Parameter;Automation Target Recognition;
 Language
Korean
 Cited by
 References
1.
Jang, D. H., Kang, W. G., and Kim, J. H., "Global UAS market trends and forecast," KSAS Spring Conference 2013(in Korean), 2013.4, pp.1140-1145.

2.
Katukam, R., "Industrial applications of drones: an insight," International Journal of Engineering Sciences & Management (IJESM), Vol. 5, Issue 2, April-June, 2015, pp.5-10.

3.
Li, S., Kang, X., and Hu, J., "Image Fusion with Guided FIltering," IEEE Transactions on Image Processing, Vol. 22, No. 7, JULY 2013, pp.2864-2875. crossref(new window)

4.
He, C., Qin, Y., Cao G., and Lang, F., "Medical Image Fusion Using Guided Filtering and Pixel Screening Based Weight Averaging Scheme," Journal of Software Engineering, Vol. 7, No. 2, 2013, pp.77-85. crossref(new window)

5.
Pham, C. C., Ha, S. V. U., and Jeon, J. W., "Adaptive Guided Image Filtering for Sharpness Enhancement and Noise Reduction," PSIVT 2011, Part I, LNCS 7087, 2011, pp.323-334.

6.
Tomasi, C. and R. Manduchi, R., "Bilaeral Filtering for Gray and Color Images," Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India (ICCV 1998), 1998.

7.
Yang, Q., Tan, K.-H., and Ahuja, N., "Real-Time O(1) Bilateral Filtering," IEEE Conference on Computer Vision and Pattern Recognition 2009 (CVPR 2009), Miami, FL, USA, June 20-25, 2009, pp.557-564.

8.
He, K., Sun, J., and Tang, X., "GuidedImage Filtering," Proceedings of the 11th EuropeanConference on Computer Vision: Part I, Heraklion,Grete, Greece, September 5-11, 2010, pp.1-14.

9.
He, K., Sun, J., and Tang, X., "Guided Image Filtering," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 6, JUNE 2013, pp.1397-1409. crossref(new window)

10.
Porikli, F., "Constant Time O(1) Bilateral Filtering," IEEE Conference on Computer Vision and Pattern Recognition 2008 (CVPR 2008), Anchorage, AK, USA, June 23-28, 2008, pp.1-8.

11.
Malviya, S. and Amhia, H., "Image Enhancement Using Improved Mean Filter at Low and High Noise Density," International Journal of Emerging Engineering Research and Technology, Vol. 2, Issue 3, June 2014, pp.45-52.

12.
Walter, E. and Pronzato, L., "Identification of Parmetric Models form Experimental Data," Springer, 1997