Print Email Facebook Twitter Blind Deconvolution of Anisoplanatic Aberrations Title Blind Deconvolution of Anisoplanatic Aberrations: A computational correction of microscopic images Author van de Ketterij, wouter (TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Systems and Control) Contributor Verhaegen, Michel (mentor) Soloviev, Oleg (graduation committee) Steur, Erik (graduation committee) Degree granting institution Delft University of Technology Programme Mechanical Engineering | Systems and Control Date 2019-07-08 Abstract Correction techniques, such as tangential iterative projections (TIP), were developed to reconstruct the image for the whole field of view. However, due to the three dimensional nature of biological tissues, induced aberrations are different throughout the field of view. This Master of Science thesis shows the development of four algorithms. These algorithms apply TIP to deconvolve images locally. Thereafter, the local results are combined in order to restore images from anisoplanatic aberrations. The difference between the the algorithms developed during this research is the complexity in the spatial domain and in the Fourier domain. It was found that adaptive limited support in the spatial domain increases the im- age quality of the estimated object. A novel approach for multi-frame deconvolution in the Fourier domain has shown to be a promising modification. The use of weighted multi-frame deconvolution in the Fourier domain has lead to improved image quality. Subject Blind Multi-Frame DeconvolutionAnisoplanaticPhase AberrationsMicroscopic ImagesWeighted Multi-Frame DeconvolutionComputational Correction To reference this document use: http://resolver.tudelft.nl/uuid:daec7fd3-ec35-471b-958d-3152a784e331 Part of collection Student theses Document type master thesis Rights © 2019 wouter van de Ketterij Files PDF MScThesis.pdf 9.64 MB Close viewer /islandora/object/uuid:daec7fd3-ec35-471b-958d-3152a784e331/datastream/OBJ/view