Abstract
Abstract : The MTF(Modulation Transfer Function) is one of quality assesment factors to evaluatethe performance of satellite images. Image restoration is needed for MTF compensation, but it is an ill-posed problem and doesn’t have a certain solution. Lots of filters were suggested to solve this problem,such as Inverse Filter(IF), Pseudo Inverse Filter(PIF) and Wiener Filter(WF). The most commonly usedfilter is a WF, but it has a limitation on distinguishing signal and noise. The L-curve-based ModifiedWiener Filter(MWF) is a solution technique using a Tikhonov regularization method. The L-curve isused for estimating an optimal regularization parameter. The image restoration was performed withDubaisat-1 images for PIF, WF, and MWF. It is found that the image restored with MWF results inmore improved MTF by 20.93% and 10.85% than PIF and WF, respectively.Key Words : MTF, MTF Compensation, WF(Wiener Filter), MWF(Modified Wiener Filter), FermiFunction, L-curve, Regularization i oyo au .5' .PEVMBUJPO5SBOTGFS'VODUJPO× s OD?Þ8 £> Þ×o a ?O×o ÞaIi OD.5'ÐO8$ c OI U ÞaI7 ´xKx a JMMQPTFEQSPCMFND Þaý ` a c3KN ×i O8$ a U A× E U *' *OWFSTF'JMUFSD E U 1*' 1TFVEP*OWFSTF'JMUFS8JFOFS'JMUFS 8'aISiI\o>bLEx5ý:S×8'× k O; Or A² O_:8d³ ÞÝ ¯oi× a 3>NSi¤ A²×.PEJGJFE8JFOFS'JMUFS .8'3 Þ Exz3 ½uS(þ3I Þ O5tIou SFHVMBSJ[BUJPOQBSBNFUFSDG8 :Ý$ aNe5ý-¶ -DVSWF8 Þ Oi.8'DhÐ8$ c%VCBJTBU$?D O8D E U 1*'8JFOFS'JMUFS 8'.8'ý O8u i Þ Oi~.8'3 i8x>1*'3 i8xD~ A: c8'3 i8xD~ A: c n;.5'3 ³8uS »i
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