Automatic isolation of blurred images from UAV image sequences

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 40, Issue 1W2, 2013, Pages 361-366

  Sieberth, T ^a   Wackrow, R ^a   Chandler, J H ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Automation; Blur; Correction; Development; Digital; Image Processing; Photogrammetry; UAV

Indexed keywords

ANTENNAS; CAMERAS; COST EFFECTIVENESS; DATA HANDLING; FUNCTIONS; IMAGE ACQUISITION; PHOTOGRAMMETRY; UNMANNED AERIAL VEHICLES (UAV);

AERIAL VEHICLE; BLUR; BLURRED IMAGE; CORRECTION; DEVELOPMENT; DIGITAL; IMAGES PROCESSING; SHAKING TABLES; UNMANNED AERIAL VEHICLE; VEHICLE IMAGES;

AUTOMATION;

EID: 84918518293     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-xl-1-w2-361-2013     Document Type: Conference Paper

References (17)

1. Aerometrex, 2012. Aerial Photogrammetry from UAVs, Kent Town, Australia http://aerometrex.com.au/blog/?p=521 (03 Apr. 2013).
2. Agrawal, A., Xu, Y., & Raskar, R., 2012. Multi-image deblurring. US Patent 8,229,244.
3. Ben-Ezra, M., Nayar, S. K., 2004. Motion-based motion deblurring. Pattern analysis and machine intelligence, 26(6), pp. 689-698.
4. Charlmond, B., 1991. PSF Estimation for Image Deblurring. CVGIP: Graphical Models and Image Processing, 53(4), pp. 364-372.
5. Clark Jones, R., 1958. On the Point and Line Spread Functions of Photographic Images. Journal of the Optical Society of America, 48(12), pp. 934-937.
6. Joshi, N., Szeliski, R., Kriegman, D. J., 2008. PSF estimation using sharp edge prediction. 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8.
7. Lelégard, L., Brédif, M., Vallet, B., & Boldo, D, 2010. Motion blur detection in aerial images shot with channel-dependent exposure time. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII (3A), pp. 180-185.
8. Liu, R., Li, Z., Jia, J., 2008. Image partial blur detection and classification. 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8.
9. MathWorks, 2013. fspecial, Create predefined 2-D filter http://www.mathworks.co.uk/help/images/ref/fspecial.html?sear chHighlight=fspecial (03 Apr. 2013).
10. Narvekar, N. D., Karam, L. J., 2009. A No-Reference Perceptual Image Sharpness Metric Based On A Cumulative Probability Of Blur Detection. Quality of Multimedia Experience, 2009. QoMEx 2009. International Workshop, pp. 87-91.
11. Ong, E., Lin, W., Lu, Z., Yang, X., Yao, S., Pan, F., Jiang, L., 2003. A no-reference quality metric for measuring image blur. Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium, 1, pp. 469-472.
12. Pacey, R., Fricker, P., 2005. Forward motion compensation (FMC) - Is It The Same In The Digital Imaging World? Photogrammetric Engineering and Remote Sensing, 71(11), pp. 1241-1242.
13. Paramanand, C., Rajagopalan, A. N., 2012. Depth from motion and optical blur with an unscented Kalman filter. IEEE transactions on image processing, 21(5), pp. 2798-2811.
14. Raskar, R., Agrawal, A., Tumblin, J., 2006. Coded exposure photography: motion deblurring using fluttered shutter. ACM Transactions on Graphics, 25(3), pp. 795-804.
15. Shane, S., Shanker, T., 2011. The New York Times, Strike Reflects U. S. Shift to Drones in Terror Fight, Washington, United States http://www.nytimes.com/2011/10/02/world/awlaki-strike-hows-us-shift-to-drones-in-terror-fight.html? ref=unmanneda erialvehicles&-r=0 (03 Apr. 2013).
16. Shah, C. A., Schickler, W., 2012. Automated Blur Detection And Removal In Airborne Imaging Systems Using IMU Data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Melbourne, Australia, Vol. XXXIX, pp. 321-323.
17. Tai, Y.-W., Du, H., Brown, M. S., Lin, S., 2008. Image/video deblurring using a hybrid camera. Conference on Computer Vision and Pattern Recognition, pp. 1-8).