Image enhancement tasks in capsule endoscopy

• Autorzy: Duda K. , Duplaga M. , Zieliński T.
• Języki publikacji: EN

Abstrakty

EN

Improving quality of images from endoscopic capsules is discussed in the paper. The quality of the images acquired during endoscopic examination may be severely affected by different factors. We consider the most typical cases of geometrical lens distortion, limited resolution of the sensor and blur caused by the defocus and motion. We present remedies for the above obstacles. They are respectively, identification and correction of the geometrical lens distortion, super-resolution of images, and blur identification and removing. We also describe the designed algorithms, particularly for the case of the capsule endoscopy, and show preliminary results obtained with artificial test data.

Słowa kluczowe

EN

endoscopic capsule; digital images; camera distortion correction; super-resolution; blur identification and removing

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2010
• Tom: Vol. 6, no. 12
• Strony: 5--13
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Duda K.

• Department of Measurement and Instrumentation, 3Department of Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland
• Centre of Innovation, Technology Transfer and University Development, Jagiellonian University, Czapskich Str.4, 31-110 Kraków, Poland

autor

Duplaga M.

• Jagiellonian University Collegium Medicum, Grzegorzecka Str. 20, 31-531 Kraków Poland

autor

Zieliński T.

• Department of Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków
• Centre of Innovation, Technology Transfer and University Development, Jagiellonian University, Czapskich Str.4, 31-110 Kraków, Poland

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