Title :
A fine-structure image/video quality measure using local statistics
Author :
Kim, Kyungnam ; Davis, Larry
Author_Institution :
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Abstract :
An objective no-reference measure is presented to assess line-structure image/video quality. It was designed to measure image/video quality for video surveillance applications, especially for background modeling and foreground object detection. The proposed measure using local statistics reflects image degradation well in terms of noise and blur. The experimental results on a background subtraction algorithm validate the usefulness of the proposed measure, by showing its correlation with the algorithm´s performance.
Keywords :
object detection; statistics; surveillance; video signal processing; background modeling; background subtraction algorithm; foreground object detection; image degradation; line-structure image quality measure; line-structure video quality measure; local statistics; objective no-reference measure; video surveillance; Cameras; Degradation; Distortion measurement; Fluctuations; Humans; Layout; Pixel; Statistics; Video compression; Video surveillance;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1421879