Live Scene Hologram Reconstruction Using Low-Frequency Filtering
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Solution Overview
Problem
Existing 3D display technologies struggle to accurately reconstruct live scenes with three-dimensional objects, lacking the ability to provide a realistic and immersive holographic experience due to challenges in capturing and processing optical holograms effectively.
Innovation Solution
A method and system for capturing optical holograms of a live scene, processing hologram data using a Gaussian kernel function to remove low frequency components, and reconstructing the scene in 3D space, utilizing a holographic capturing and display system with an optical sensor and computing device to generate digital holograms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional 3D display techniques are used to reconstruct live scenes, then the system complexity is reduced, but the realism and immersive quality of the holographic experience deteriorates
Solution Approach 1:
The system segments the complex holographic reconstruction task into multiple processing stages: optical hologram capture by sensor array, sequential hologram data generation, low frequency component removal using Gaussian kernel function, and 3D scene reconstruction. This segmentation allows each module to be optimized independently while maintaining overall system manageability.
Solution Approach 2:
The patent introduces an intermediary processing stage that converts optical holograms into sequential hologram data, which then undergoes frequency component filtering before reconstruction. This intermediary representation enables sophisticated processing of low frequency components without requiring direct manipulation of the original optical fields, reducing system complexity.
2Manufacturing precision
If sequential optical holograms are captured and processed to remove low frequency components, then the manufacturing precision of the digital holograms is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary processing by capturing sequential optical holograms and generating corresponding hologram data before the final reconstruction stage. Low frequency components are removed in advance using a Gaussian kernel function, preparing the data for efficient reconstruction without compromising precision.
Solution Approach 2:
The patent applies parameter changes by using a Gaussian kernel function with adjustable standard deviation to selectively remove low frequency components from the hologram data. This parameter-based filtering approach achieves precise control over the processing outcome while optimizing the balance between processing time and hologram quality.
3Measurement precision
If optical holograms are processed to remove low frequency components using a Gaussian kernel function, then the quality of digital holograms is improved, but the computational complexity increases
Solution Approach 1:
The system extracts and removes low frequency components from the hologram data using a Gaussian kernel function. By separating and eliminating these specific frequency components, the processing focuses computational resources on the essential high frequency details that define hologram quality, reducing overall computational complexity.
Solution Approach 2:
The patent replaces complex mechanical or optical filtering systems with a computational approach using a Gaussian kernel function. This substitution performs frequency component removal through mathematical operations rather than physical filters, achieving high precision digital hologram processing with manageable computational complexity.
4Reliability
If high fidelity reconstruction of live scenes is achieved, then the immersive experience is enhanced, but the data processing requirements increase
Solution Approach 1:
The system applies partial processing by selectively removing only low frequency components from the hologram data while preserving the high frequency details essential for scene fidelity. This partial action approach achieves high fidelity reconstruction without processing the entire frequency spectrum, reducing data processing requirements.
Solution Approach 2:
The patent applies local quality enhancement by focusing processing efforts on the frequency components that most impact reconstruction fidelity. The Gaussian kernel function selectively targets low frequency components for removal, allowing efficient processing while maintaining high fidelity in the critical high frequency regions of the hologram data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the reconstruction of live scenes with high fidelity and realism, providing occlusion, parallax, and accommodation, enhancing the immersive experience in applications like medical imaging and virtual reality.
Implementation Method 1
optically generating an optical hologram of a live scene that includes one or more three-dimensional (3D) objects
Implementation Method 2
processing hologram data associated with an optical hologram to remove low frequency components of the hologram data based on a mathematical function, where the digital holograms include a digital hologram corresponding to the processed hologram data associated with the optical hologram
Data Source
AI summary
Methods, apparatus, devices, subsystems, and systems for holographically displaying live scenes are provided. In one aspect, a method includes optically generating an optical hologram of a live scene including one or more three-dimensional (3D) objects; capturing sequential optical holograms of the live scene and generating sequential hologram data associated with the sequential optical holograms of the live scene, each optical hologram being associated with respective hologram data; processing the at least part of the sequential hologram data based on a mathematical function to remove low frequency components to generate digital holograms associated with the live scene; and reconstructing the live scene in a 3D space based on the digital holograms.