A TV regularisation sparse light field reconstruction model based on guided-filtering

作者：

Highlights：

• Acquiring the light field from a limited number of measurements is useful.

• A general light field imaging model is established.

• A total variation regularisation sparse method based on guided-filtering is proposed.

• Our method shows higher performance compared with other methods.

摘要

•Acquiring the light field from a limited number of measurements is useful.•A general light field imaging model is established.•A total variation regularisation sparse method based on guided-filtering is proposed.•Our method shows higher performance compared with other methods.

论文关键词：Light field reconstruction,Total variation regularisation,The guided filter

论文评审过程：Received 11 July 2021, Revised 20 June 2022, Accepted 16 August 2022, Available online 24 August 2022, Version of Record 5 September 2022.

论文官网地址：https://doi.org/10.1016/j.image.2022.116852