TY - GEN
T1 - Depth free entropy based ghost removal on synthetic aperture images
AU - Xiao, Zhaolin
AU - Yang, Heng
AU - Wang, Qing
AU - Zhou, Guoqing
PY - 2013
Y1 - 2013
N2 - The depth resolution of synthetic aperture photography (SAP) is significantly improved than traditional imaging system. However, as one side effect, ghost artifact is brought in defocused regions of SAP images. In this paper, we propose an entropy based ghost removal algorithm on SAP images, which is free of depth estimation. First, we analyze the essence of ghost artifact from light field. Then we present three entropy based assumptions for predicting the focus trend and estimating the kernel of low pass filter for each pixel. Based on the neighborhood pixel similarity and adjacent frame continuity, a low pass filter is employed to reduce the unexpected ghosting in the spatial domain. Experimental results have verified the validity of proposed algorithm on both virtual and real data. The ghosting areas are greatly smoothed while focused regions are kept as same as original image.
AB - The depth resolution of synthetic aperture photography (SAP) is significantly improved than traditional imaging system. However, as one side effect, ghost artifact is brought in defocused regions of SAP images. In this paper, we propose an entropy based ghost removal algorithm on SAP images, which is free of depth estimation. First, we analyze the essence of ghost artifact from light field. Then we present three entropy based assumptions for predicting the focus trend and estimating the kernel of low pass filter for each pixel. Based on the neighborhood pixel similarity and adjacent frame continuity, a low pass filter is employed to reduce the unexpected ghosting in the spatial domain. Experimental results have verified the validity of proposed algorithm on both virtual and real data. The ghosting areas are greatly smoothed while focused regions are kept as same as original image.
KW - Aliasing
KW - Ghost removal
KW - Light field
KW - Synthetic aperture photography
UR - http://www.scopus.com/inward/record.url?scp=84892503983&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2013.6664115
DO - 10.1109/ICSPCC.2013.6664115
M3 - 会议稿件
AN - SCOPUS:84892503983
SN - 9781479910274
T3 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
BT - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
T2 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
Y2 - 5 August 2013 through 8 August 2013
ER -