Adaptive weighted guided image filtering for depth enhancement in shape-from-focus

作者：

Highlights：

• We proposed a novel AdaptiveWeighted Guided Image Filtering algorithm which outperforms the existing guided filters to preserve accurate edges.

• We designed four special cases of the adaptive adjustment algorithm to remove the noise while enhancing depth details.

• We proposed a new strategy based on AWGIF algorithm for depth enhancement in Shape-From-Focus.

• Our proposed method are applied to the emerging AR/VR on hand-held devices in real-time.

摘要

•We proposed a novel AdaptiveWeighted Guided Image Filtering algorithm which outperforms the existing guided filters to preserve accurate edges.•We designed four special cases of the adaptive adjustment algorithm to remove the noise while enhancing depth details.•We proposed a new strategy based on AWGIF algorithm for depth enhancement in Shape-From-Focus.•Our proposed method are applied to the emerging AR/VR on hand-held devices in real-time.

论文关键词：Shape from focus,Depth enhancement,Adaptive weighted guided image filtering,Edge-preserving,Robustness

论文评审过程：Received 22 January 2022, Revised 11 June 2022, Accepted 13 July 2022, Available online 16 July 2022, Version of Record 21 July 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.108900