Compressive holography imaging based on guided filter noise reduction

Mingguang Shan; Haotian Li; Lei Liu

doi:10.1117/12.3039061

13 September 2024 Compressive holography imaging based on guided filter noise reduction

Mingguang Shan, Haotian Li, Lei Liu

Author Affiliations +

Proceedings Volume 13254, Fourth International Conference on Optics and Image Processing (ICOIP 2024); 132541S (2024) https://doi.org/10.1117/12.3039061
Event: Fourth International Conference on Optics and Image Processing (ICOIP 2024), 2024, Chongqing, China

Abstract

A novel compressive holography imaging scheme is proposed, based on guided filter denoising. In this approach, the gray composite image reconstructed by the traditional algorithm serves as the input for the guided filter. The compressed holographic reconstruction result is then used as a guided image to constrain the input image in the filtering process. Ultimately, a filtered compressive holography reconstruction result with edge-preserving characteristics is obtained through guiding the filtering algorithm. Compared to existing compressed holographic imaging technology, our method effectively retains edge information and significantly suppresses background noise, resulting in high-precision imaging results. The effectiveness of this scheme has been demonstrated through experiments.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mingguang Shan, Haotian Li, and Lei Liu "Compressive holography imaging based on guided filter noise reduction", Proc. SPIE 13254, Fourth International Conference on Optics and Image Processing (ICOIP 2024), 132541S (13 September 2024); https://doi.org/10.1117/12.3039061

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KEYWORDS

3D image reconstruction

Reconstruction algorithms

Holography

Image filtering

Denoising

Background noise

Holograms

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