DocumentCode :
595427
Title :
Sharpness estimation for document and scene images
Author :
Kumar, Jayant ; Chen, Fan ; Doermann, David
Author_Institution :
Univ. of Maryland, College Park, MD, USA
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
3292
Lastpage :
3295
Abstract :
Images of document pages have different characteristics than images of natural scenes, and so the sharpness measures developed for natural scene images do not necessarily extend to document images primarily composed of text. We present an efficient and simple method for effectively estimating the sharp-ness/blurriness of document images that also performs well on natural scenes. Our method can be used to predict the sharpness in scenarios where images are blurred due to camera-motion (or hand-shake), defocus, or inherent properties of the imaging system. The proposed method outperforms the perceptually-based, no-reference sharpness work of [1] and [4], which was shown to perform better than 14 other no-reference sharpness measures on the LIVE dataset.
Keywords :
cameras; document image processing; estimation theory; natural scenes; LIVE dataset; camera-motion; document image blurriness; document images sharpness estimation; document pages images; imaging system; natural scene images; no-reference sharpness measures; perceptually-based no-reference sharpness work; scene images; Accuracy; Cameras; Correlation; Educational institutions; Estimation; Image edge detection; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460868
Link To Document :
بازگشت