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Related Experiment Video

Updated: Sep 11, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

Video Diffusion Posterior Sampling for Seeing Beyond Dynamic Scattering Layers.

Taesung Kwon, Gookho Song, Yoosun Kim

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 13, 2025

Summary

This summary is machine-generated.

This study introduces a novel video diffusion model for imaging through dynamic scattering layers. The method effectively reconstructs high-resolution details by leveraging temporal correlations, outperforming spatial-only approaches.

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Last Updated: Sep 11, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Published on: December 3, 2013

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Area of Science:

Optics and Photonics
Computer Vision
Machine Learning

Background:

Imaging through scattering media is a significant challenge due to light perturbation.
Accurate modeling of dynamic or thick scattering layers remains difficult.
Existing methods struggle with reconstructing fine details in scattered images.

Purpose of the Study:

To develop an advanced inverse solver for imaging through dynamic scattering layers.
To improve the reconstruction of high-resolution spatial details from scattered video.
To enhance adaptability to unknown and time-varying scattering conditions.

Main Methods:

Utilizing video diffusion models with a physically grounded forward model.
Extending Diffusion Posterior Sampling (DPS) to the spatio-temporal domain.
Implementing inference-time optimization with a lightweight mapping network for joint parameter estimation.

Main Results:

Successfully recovered high-resolution spatial details by effectively capturing temporal correlations.
Demonstrated superior performance compared to spatial-only methods.
Achieved robust and effective results across diverse conditions, including real-world experiments with noise and model mismatches.

Conclusions:

The proposed plug-and-play inverse solver is effective for blind inverse scattering problems.
The method shows versatility as a general video restoration framework for various degradations.
The approach offers a significant advancement in imaging through dynamic scattering media.