Variational method for joint optical flow estimation and edge-aware image restoration

作者：

Highlights：

• Incorporating an EAC added IFT to the variational model to form a new energy function, which can estimate optical flow and restore images jointly.

• The EAC can be rewritten into the first-order gradient form, and is beneficial for preserving edges and minimization.

• Input images can be fast restored by optimizing the Euler–Lagrange equations of the EAC integrated IFT.

摘要

Highlights•Incorporating an EAC added IFT to the variational model to form a new energy function, which can estimate optical flow and restore images jointly.•The EAC can be rewritten into the first-order gradient form, and is beneficial for preserving edges and minimization.•Input images can be fast restored by optimizing the Euler–Lagrange equations of the EAC integrated IFT.

论文关键词：Optical flow,Image sequence restoration,Edge preserving,Efficient numerical solver

论文评审过程：Received 15 April 2016, Revised 20 October 2016, Accepted 22 October 2016, Available online 24 October 2016, Version of Record 15 December 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.10.027