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Odhad hloubkové mapy a současná slepá dekonvoluce obrazů rozmazaných defokuzací
Šorel, Michal ; Flusser, Jan
We present an algorithm that uses two or more defocused images of the same scene for recovery of scene structure and simultaneous restoration of sharp image. Defocousation is modeled by convolution with arbitrary known spatially-variant mask unlike the vast majority of published algorithms that used cylindrical or Gaussian masks. In this way it is able to deal with aberrations present in real optical systems. The mask can be given analytically ro by a table or a ray tracing algorithm.
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Feature point detection in multiframe images
Zitová, Barbara ; Flusser, Jan ; Kautsky, J. ; Peters, G.
This paper deals with multiframe feature point detection, i.e. detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated and shifted with respect to each other. We present a new method invariant under rotation, able to handledifferently blurred images. The point sets extracted from different frames have relatively high number of common elements, which is highly desirable for further processing. The performance of the method is demonstrated on satellite images.
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