United estimation of blur distribution for space-variant rotation motion deblurring

Ziyi Shen*, Tingfa Xu, Ziwei Liu, Jie Guo, Hongqing Wang, Guokai Shi, Zhitao Rao

*Corresponding author for this work

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Abstract

The method for estimating the space-varying kernel for rotation motion which can’t be solved by a single kernel is proposed. After layering the image by multiplex difference of Gaussian model, the method estimate the rotary direction and the movement for each block in Fourier domain. An improved optimization for both direction and scale of different parts around the rotation center estimated with the same radius, through a constraint of United Least square Filter is taken in our algorithm to structure the blur path accurately. Aiming at the different position of the rotary region, combining the blur distribution estimated with an operator which created related to the spatial location, character and degree of rotation motion, here build a model to estimate a space-varying kernel for the rotation motion which is replaced by such pixels on the motion-blur-path with uniform and separate influence during the exposure in the original algorithm, it also could be used for space-variant de-blurring. Experimental results for synthetic and real images demonstrate the effectiveness of this algorithm.

Original languageEnglish
Title of host publicationImage Reconstruction from Incomplete Data VIII
EditorsPhilip J. Bones, Michael A. Fiddy, Michael A. Fiddy, Rick P. Millane, Philip J. Bones, Rick P. Millane
PublisherSPIE
ISBN (Electronic)9781628417661, 9781628417661
DOIs
Publication statusPublished - 2015
EventImage Reconstruction from Incomplete Data VIII - San Diego, United States
Duration: 11 Aug 201512 Aug 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9600
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceImage Reconstruction from Incomplete Data VIII
Country/TerritoryUnited States
CitySan Diego
Period11/08/1512/08/15

Keywords

  • Deblurring
  • Motion-blur-path
  • Space-variant

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Shen, Z., Xu, T., Liu, Z., Guo, J., Wang, H., Shi, G., & Rao, Z. (2015). United estimation of blur distribution for space-variant rotation motion deblurring. In P. J. Bones, M. A. Fiddy, M. A. Fiddy, R. P. Millane, P. J. Bones, & R. P. Millane (Eds.), Image Reconstruction from Incomplete Data VIII Article 960005 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9600). SPIE. https://doi.org/10.1117/12.2187333