MODULATION TRANSFER FUNCTION COMPENSATION THROUGH A MODIFIED WIENER FILTER FOR SPATIAL IMAGE QUALITY IMPROVEMENT

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dc.contributor.authorWONG, SOO MEE
dc.contributor.authorWONG, SOO MEE
dc.date.accessioned2016-01-14T06:11:14Z
dc.date.available2016-01-14T06:11:14Z
dc.date.issued2010-01
dc.date.issued2010-01
dc.description.abstractThe usefulness of image data acquired from an imaging sensor critically depends on the ability of the sensor to resolve spatial details to an acceptable level. This ability, in turn, will determine the image quality in terms of sharpness. A way to describe the performance of an imaging system and the quality of an image is to specify its modulation transfer function (MTF). The MTF is a system quality metric that is often used in remote sensing. It is defined as the normalized magnitUde of the Fourier Transform of the imaging system's point spread function (PSF). The integrating effect of the PSF of an imaging system affects the signature of a feature in the image. Derivations..of PSF from a linear step-edge in the image can be analyzed to interpret the MTF in frequency domain. Knowledge of MTF enables an objective assessment of imaging system performance and preprocessing operation to compensate for the image degradation. In. this research, a high fidelity edge projection technique which is invariant to edge angle was developed to obtain the MTF measurements. The technique can produce a precise and unbiased measurement. The MTF measurements were used to model the degradation function and subsequently applied through a modified Wiener filter for image restoration. Regularization method has been incorporated in the filter to overcome its ill-posed problem from restoration. This atteriipt results in a significant improvement in terms of image quality. The proposed MTF measurement and compensation technique formed a unified system that measures MTF for imaging system quality characterization and spatial image quality improvement. The results by the system were analyzed and presented, they were found to be consistent. The data sets used in the analysis were synthetically blurred remotely-sensed images simulated from Level-2A, a product from IKONOS, a commercial remote sensing system satellite with imaging capability of high resolution image of approximately one meter ground sample distance in panchromatic band.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1566
dc.subjectMODULATION TRANSFERen_US
dc.subjectFUNCTION COMPENSATIONen_US
dc.titleMODULATION TRANSFER FUNCTION COMPENSATION THROUGH A MODIFIED WIENER FILTER FOR SPATIAL IMAGE QUALITY IMPROVEMENTen_US
dc.titleMODULATION TRANSFER FUNCTION COMPENSATION THROUGH A MODIFIED WIENER FILTER FOR SPATIAL IMAGE QUALITY IMPROVEMENTen_US
dc.typeThesisen_US
dc.typeThesisen_US
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