TY - GEN
T1 - Sharpness estimation for document and scene images
AU - Kumar, Jayant
AU - Chen, Francine
AU - Doermann, David
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84874569721
M3 - Conference contribution
AN - SCOPUS:84874569721
SN - 9784990644109
T3 - Proceedings - International Conference on Pattern Recognition
SP - 3292
EP - 3295
BT - ICPR 2012 - 21st International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Pattern Recognition, ICPR 2012
Y2 - 11 November 2012 through 15 November 2012
ER -