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Summary: Obj ect-based image r estor ation for multilayer auto-focusing
K imap K ima, Sunç 1yun Hw anga, K ongho Shina, J% nki Paik¤a, Besma A bidib, and M ongi A . A bidib
aImage Processing and Intelligent System L aboratOIy , Deparmlcnt OH mage EngineeÄ Ig
Graduate School of A dvanced Imaging Science, M ultimedia, and Film, Chung-A ng University
22 I Huksuk-Dong, Tongjak-ku, Seoul l 56-756, K orea;
bImaging, Robotics, and Intelligent System L aboratory, Deparm ent of Elgcð ical and Computer
Engineering, The University of Tennessee, Knoxville, T N 37996-2 I OO, U SA
1b is pÀ er prow ses a h ll ly digiµ l aut@focusing algorithm for restoring the image w ith differently mlt-oF focused
£Ì ects, w hich can restore backg n und as w ell as aU obj ects. In this paper, w e assume that out-ÆLfocus blm is isotropic
such as circle of conEiSion (COC) or tW6 ë imeIlSionaI Gaussian blû ¤I h erefore, m e prõ osed algorimm can segm ent
and estimate m e pÌ nt spread h lIIction (PSF) by using m e size of rÀ p m m e one-d im eIISional step re$ OII e. Th e
prow sô algorithm can be develow d by oñ ect-À sed û µ ge segmena tion µ d restorahOI1 Ü go© m . Exped m e© l
results show mai m e prß m sed object-based image restoration algorithm can eg icim1tly rem ove me spacg-vµ aI1I out of
m cus blllr h om me image w ith m ultiple blun ed otj eá s.
K ey w or d s: m age restoration, PSF estimation, auio-focusing, image seg neInation
Th e deÀ nd for auto¤m cusing iechniques is g § À lly incrg sing in m any ¨ Sµ appUcatiom such as canx o° Ê , digiÀ l
@m a as, µ d vi& o sw veÇ ance sy stems- Currently, most digÀ l Cø neras or cam cordeIS adopt Ê m iJ iÖ À l autf
focusing technique, w hich has the µ aly sis IIIO(hile m determ ine the m cusing stanis by compuhng m e energy of hi gh
6 ï Uency COInw nm ts in m e input knage signal, and me COIIò ol m odule to m ov e m e focusing le$ back and fm h unh l
the optim ally focused im age is obtained - On the Om @ hand, the h llly digi& l auto®focusing system without m cusing lg s
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