TY - GEN
T1 - Synthetic aperture image quality assessment based on camera array
T2 - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
AU - Pei, Zhao
AU - Zhang, Yanning
AU - Yang, Tao
AU - Chen, Xida
PY - 2012
Y1 - 2012
N2 - Synthetic aperture imaging, which is very powerful method for 'seeing through' occlusion, has been proposed recently. It not only makes the object on the focal plane clear and sharp, but also improves signal-to-noise ratio of the result image. Although there are a lot of image quality assessment metrics for evaluating the image quality, unfortunately they are seldom used for evaluating the quality of synthetic aperture image. In this paper, we use some general image quality assessment metrics including: mean, variance, entropy, mean squared error, peak signal-to-noise ratio, cross entropy and correlation coefficient to evaluate the quality of synthetic aperture image. The main characteristics of this paper include three parts: (1) Systematically evaluating the quality of synthetic aperture image by several widely used image quality metrics. (2) Determine the performance of these metrics on synthetic aperture image. (3) Using some good performance metrics on autofocusing to determine on which focal plane is hidden object.
AB - Synthetic aperture imaging, which is very powerful method for 'seeing through' occlusion, has been proposed recently. It not only makes the object on the focal plane clear and sharp, but also improves signal-to-noise ratio of the result image. Although there are a lot of image quality assessment metrics for evaluating the image quality, unfortunately they are seldom used for evaluating the quality of synthetic aperture image. In this paper, we use some general image quality assessment metrics including: mean, variance, entropy, mean squared error, peak signal-to-noise ratio, cross entropy and correlation coefficient to evaluate the quality of synthetic aperture image. The main characteristics of this paper include three parts: (1) Systematically evaluating the quality of synthetic aperture image by several widely used image quality metrics. (2) Determine the performance of these metrics on synthetic aperture image. (3) Using some good performance metrics on autofocusing to determine on which focal plane is hidden object.
KW - Camera array
KW - Image Quality Assessment
KW - Synthetic aperture image
UR - https://www.scopus.com/pages/publications/84872920122
U2 - 10.1109/FSKD.2012.6234234
DO - 10.1109/FSKD.2012.6234234
M3 - 会议稿件
AN - SCOPUS:84872920122
SN - 9781467300223
T3 - Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
SP - 1967
EP - 1971
BT - Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
Y2 - 29 May 2012 through 31 May 2012
ER -