Title :
A deburring technique for large scale motion blur images using a hybrid camera
Author :
XU, Shu-kui ; Liang, Hao-zhe ; Tu, Dan ; LI, Guo-hui
Author_Institution :
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
If a camera moves fast in low light environments, large scale motion blur is induced. Algorithms for deblurring motion blur images mostly fail miserably when applied to large scale motion blur images. The motion path of the camera is complex, and the estimation of accurate point spread function(PSF) for a large scale motion blur image is always a difficult problem. Firstly, a hybrid camera which is composed by a high resolution camera and a high speed assist camera is used for deblurring large scale motion blur images. Then, an algorithm is proposed to compute the accurate PSF using the displacements. Finally, Richardson-Lucy algorithm is used for deblurring the high resolution motion blur images. The experiments show that this kind of technique can deblur large scale motion blur images efficaciously and the details of the scene such as characters can be recognized by deblurred images.
Keywords :
cameras; image motion analysis; image resolution; image restoration; optical transfer function; PSF estimation; Richardson-Lucy algorithm; high resolution camera; high resolution motion blur image; high speed assist camera; hybrid camera; image deblurring; large scale motion blur image; low light environment; motion path; point spread function; Accuracy; Cameras; Correlation; Deconvolution; Displacement measurement; Image resolution; Pixel; Digital Correlation Method; Hybrid Camera; Large Scale Motion Deblurring; Videometrics;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646713