Compressive holography imaging based on guided filter noise reduction

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.