| Attributes | Values |
|---|
| rdf:type
| |
| Description
| - Digital images can be negatively influenced by several aspects, mostly by camera movement, unfocussed lenses, and noise from the camera sensor. The reconstruction can be done by several reconstruction methods. The methods can be non-iterative such as Wiener reconstruction. The Wiener reconstruction is effective and fast for the most of ordinary images. Unfortunately, some artifacts are visible after the reconstruction. From the iterative methods, the Lucy-Richardson (LR) or blind deconvolution are sometimes used. Iterative algorithms are slower but the results can be usually better. The problem with iterative methods is that the number of iterations needed in order to achieve the image of adequate quality is not known ahead. Our experiments show how to look for appropriate stopping criteria, and that in case of the LR deconvolution it is possible to find such criteria. The original non-degraded image was not available. The considerations were based on judging of 100 images. The experiments revealed th
- Digital images can be negatively influenced by several aspects, mostly by camera movement, unfocussed lenses, and noise from the camera sensor. The reconstruction can be done by several reconstruction methods. The methods can be non-iterative such as Wiener reconstruction. The Wiener reconstruction is effective and fast for the most of ordinary images. Unfortunately, some artifacts are visible after the reconstruction. From the iterative methods, the Lucy-Richardson (LR) or blind deconvolution are sometimes used. Iterative algorithms are slower but the results can be usually better. The problem with iterative methods is that the number of iterations needed in order to achieve the image of adequate quality is not known ahead. Our experiments show how to look for appropriate stopping criteria, and that in case of the LR deconvolution it is possible to find such criteria. The original non-degraded image was not available. The considerations were based on judging of 100 images. The experiments revealed th (en)
- Digital images can be negatively influenced by several aspects, mostly by camera movement, unfocussed lenses, and noise from the camera sensor. The reconstruction can be done by several reconstruction methods. The methods can be non-iterative such as Wiener reconstruction. The Wiener reconstruction is effective and fast for the most of ordinary images. Unfortunately, some artifacts are visible after the reconstruction. From the iterative methods, the Lucy-Richardson (LR) or blind deconvolution are sometimes used. Iterative algorithms are slower but the results can be usually better. The problem with iterative methods is that the number of iterations needed in order to achieve the image of adequate quality is not known ahead. Our experiments show how to look for appropriate stopping criteria, and that in case of the LR deconvolution it is possible to find such criteria. The original non-degraded image was not available. The considerations were based on judging of 100 images. The experiments revealed th (cs)
|
| Title
| - Iterative Image Restoration and the Stopping Criteria
- Iterative Image Restoration and the Stopping Criteria (en)
- Iterative Image Restoration and the Stopping Criteria (cs)
|
| skos:prefLabel
| - Iterative Image Restoration and the Stopping Criteria
- Iterative Image Restoration and the Stopping Criteria (en)
- Iterative Image Restoration and the Stopping Criteria (cs)
|
| skos:notation
| - RIV/61989592:15310/07:00003608!RIV09-MSM-15310___
|
| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| - P(1ET101370417), P(GA201/05/0079), P(GA201/05/2707), Z(MSM6198959214)
|
| http://linked.open...vai/riv/dodaniDat
| |
| http://linked.open...aciTvurceVysledku
| |
| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
| |
| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/61989592:15310/07:00003608
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - Image reconstruction; deblurring; deconvolution; Lucy-Richardson algorithm (en)
|
| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...i/riv/mistoVydani
| |
| http://linked.open...i/riv/nazevZdroje
| - Proceedings of the 11th World Multi-Conference on Systemics, Cybernetics and Informatics
|
| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Mikeš, Josef
- Machala, Libor
- Dobeš, Michal
|
| http://linked.open...n/vavai/riv/zamer
| |
| number of pages
| |
| http://purl.org/ne...btex#hasPublisher
| - International Institute of Informatics and Systemics
|
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
| |
| is http://linked.open...avai/riv/vysledek
of | |
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