Journal of Jishou University(Natural Sciences Edition) ›› 2020, Vol. 41 ›› Issue (5): 37-40.DOI: 10.13438/j.cnki.jdzk.2020.05.008

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Image Registration Based on Spatial Adaptive Total Variation

ZHANG Qunyi, YANG Fenlin   

  1. (School of Mathematics and Statistics, Jishou University, Jishou 416000, Hunan China)
  • Online:2020-09-25 Published:2021-02-04

Abstract: A discrete spatially adaptive total variation image registration model is established by introducing spatial adaptive regularization parameters, and an effective fixed point method is given by combining the first-order Taylor expansion. Experimental results show that the image obtained from the spatial adaptive total variation registration model has better quality and requires less iterative time than the total variation registration model.

Key words: image registration, spatially adaptive, regularization parameter, fixed point method

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