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Abstract
An application of a multiframe SR (superresolution) algorithm applied to video monitoring is described. The video signal generated by various types of video cameras with different parameters and signal distortions which may be very problematic for superresolution algorithms. The paper focuses on disadvantages in video signal which occur in video surveillance systems. Especially motion estimation and its influence on superresolution effectiveness is analyzed. In proposed initial solution a proper frame shift estimation is shown. Tests of the proposed algorithm performed video frames from real surveillance system in which many described difficulties were found. Result image examples show image resolution enhancement with plate numbers. The improvement of image quality is discussed in reference to further plate recognition.
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Advances in Multimedia and Network Information System Technologies strony 105 - 112
- Language:
- English
- Publication year:
- 2010
- Bibliographic description:
- Merta T., Czyżewski A.: Superresolution algorithm to video surveillance system // Advances in Multimedia and Network Information System Technologies/ ed. eds. Ngoc Thanh Nguyen, Aleksander Zgrzywa, Andrzej Czyżewski. Berlin Heidelberg: Springer, 2010, s.105-112
- Verified by:
- Gdańsk University of Technology
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