Mutual-structure weighted guided image filtering for depth map restoration

Although guided image filtering (GIF) is known for preserving edges and fast computation, it may produce inaccurate outputs in depth map restoration. In this paper, a novel confidence-weighted GIF called mutual-structure weighted GIF (MSWGIF) is proposed, which replaces the mean filtering strategy i...

Full description

Saved in:
Bibliographic Details
Published in:Optoelectronics letters 2025, Vol.21 (1), p.51-56
Main Authors: Liu, Zijian, Song, Jian, Chen, Quanmin, Xu, Jiangtao
Format: Article
Language:English
Subjects:
Image filters
Lasers
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Restoration
Root-mean-square errors
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Although guided image filtering (GIF) is known for preserving edges and fast computation, it may produce inaccurate outputs in depth map restoration. In this paper, a novel confidence-weighted GIF called mutual-structure weighted GIF (MSWGIF) is proposed, which replaces the mean filtering strategy in GIF during handling overlapping windows. The confidence value is composed of a depth term and a mutual-structure term, where the depth term is utilized to protect the edges of the output, and the mutual-structure term helps to select accurate windows during the structure characteristics of the guidance image are transferred to the output. Experimental results show that MSWGIF reduces the root mean square error ( RMSE ) by an average of 12.37%, and the average growth rate of correlation ( CORR ) is 0.07% on average. Additionally, the average growth rate of structure similarity index measure ( SSIM ) is 0.34%.
ISSN:1673-1905
1993-5013
DOI:10.1007/s11801-025-3278-7