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Obj ect-based image r estor ation for multilayer auto-focusing K imap K ima, Sun 1yun Hw anga, K ongho Shina, J% nki Paika, Besma A bidib, and M ongi A . A bidib
 

Summary: Obj ect-based image r estor ation for multilayer auto-focusing
K imap K ima, Sun 1yun Hw anga, K ongho Shina, J% nki Paika, Besma A bidib, and M ongi A . A bidib
aImage Processing and Intelligent System L aboratOIy , Deparmlcnt OH mage Enginee 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 Elgc ical and Computer
Engineering, The University of Tennessee, Knoxville, T N 37996-2 I OO, U SA
1b is p er prow ses a h ll ly digi l aut@focusing algorithm for restoring the image w ith differently mlt-oF focused
ects, w hich can restore backg n und as w ell as aU obj ects. In this paper, w e assume that out-Lfocus blm is isotropic
such as circle of conEiSion (COC) or tW6 imeIlSionaI Gaussian bl I h erefore, m e pr osed algorimm can segm ent
and estimate m e p nt spread h lIIction (PSF) by using m e size of r p m m e one-d im eIISional step re$ OII e. Th e
prow s algorithm can be develow d by o ect- sed ge segmena tion d restorahOI1 go m . Exped m e l
results show mai m e pr m sed object-based image restoration algorithm can eg icim1tly rem ove me spacg-v aI1I out of
m cus blllr h om me image w ith m ultiple blun ed otj e s.
K ey w or d s: m age restoration, PSF estimation, auio-focusing, image seg neInation
Th e de nd for autom cusing iechniques is g lly incrg sing in m any S appUcatiom such as canx o , digi l
@m a as, d vi& o sw ve ance sy stems- Currently, most dig l C neras or cam cordeIS adopt m iJ i l autf
focusing technique, w hich has the aly sis IIIO(hile m determ ine the m cusing stanis by compuhng m e energy of hi gh
6 Uency COInw nm ts in m e input knage signal, and me COII 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 autofocusing system without m cusing lg s

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences