Parameter estimation of rotation blurred images based on LOG-polar transform

Ruolan Hu; Xiao Zhou; Xingang Mou; Guilin Zhang

doi:10.1117/12.832851

30 October 2009 Parameter estimation of rotation blurred images based on LOG-polar transform

Ruolan Hu, Xiao Zhou, Xingang Mou, Guilin Zhang

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951M (2009) https://doi.org/10.1117/12.832851
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The estimation of the blurred parameters is the key to recover the blurred image. In the rotational motion blurred image, the track of blurred is arc and the blurred is not identical in the whole image space. The method based on LOG-polar transform introduced by this paper firstly transform the blurred track from arc to linear, and then estimate the parameter of the rotational motion image with the method based on self-correlation. The experiments showed that the proposal method was effective to estimate the parameter with good precision.

Citation Download Citation

Ruolan Hu, Xiao Zhou, Xingang Mou, and Guilin Zhang "Parameter estimation of rotation blurred images based on LOG-polar transform", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951M (30 October 2009); https://doi.org/10.1117/12.832851

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