Deflectometry and Image Denoising
Deflectometry and Image Denoising
by Birgit Komander
English | 2019 | ISBN: 3736999976 | 125 Pages | PDF | 2.1 MB
by Birgit Komander
English | 2019 | ISBN: 3736999976 | 125 Pages | PDF | 2.1 MB
There are different methods to measure the manufactured parts. The goal is to describe the measured object exactly by the data. This is one example for a so-called inverse problem. The application that we consider in the first part of this thesis is a data fusion process. The given dataset is a result of a deflectometric measurement process. These processes deal with object measurements of specular objects, such as lenses or mirrors. The aim is to calculate a dataset that describes the measured object exactly. The output data consists of two sets of separately measured types of data which suffer from different accuracy due to different sensitivity to noise. We resolve this issue with a data fusion process by solving a minimization problem which uses the more accurat data as a reference value and by duing so increases the other. Taking the gained insights we are able to develop new theories for image denoising.
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