TY - GEN
T1 - Efficient method of detecting globally blurry or sharp images
AU - Tsomko, Elena
AU - Kim, Hyoung Joong
PY - 2008
Y1 - 2008
N2 - In this paper we present a simple and efficient method for detecting the blurriness in the pictures. Recently, many digital cameras are equipped with auto-focusing functions to help the users take well-focused pictures. However, digital images can be degraded by limited contrast, inappropriate exposure, imperfection of auto-focusing or motion compensating devices, limited knowledge of amateur photographers, and so on. In order to detect blurry images for deleting them or making them go through an enhancement process automatically, a reliable measure of image degradation is needed. This paper presents a blurriness/sharpness detection algorithm based on the prediction - error variance, and demonstrates its feasibility by using extensive experiments. This method is fast, easy to implement and accurate. Regardless of the detection accuracy, the proposed method in this paper is not demanding on computation time.
AB - In this paper we present a simple and efficient method for detecting the blurriness in the pictures. Recently, many digital cameras are equipped with auto-focusing functions to help the users take well-focused pictures. However, digital images can be degraded by limited contrast, inappropriate exposure, imperfection of auto-focusing or motion compensating devices, limited knowledge of amateur photographers, and so on. In order to detect blurry images for deleting them or making them go through an enhancement process automatically, a reliable measure of image degradation is needed. This paper presents a blurriness/sharpness detection algorithm based on the prediction - error variance, and demonstrates its feasibility by using extensive experiments. This method is fast, easy to implement and accurate. Regardless of the detection accuracy, the proposed method in this paper is not demanding on computation time.
UR - http://www.scopus.com/inward/record.url?scp=51749117645&partnerID=8YFLogxK
U2 - 10.1109/WIAMIS.2008.28
DO - 10.1109/WIAMIS.2008.28
M3 - Conference contribution
AN - SCOPUS:51749117645
SN - 9780769531304
T3 - WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services
SP - 171
EP - 174
BT - WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services
T2 - 9th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2008
Y2 - 7 May 2008 through 9 May 2008
ER -