Volumetric Content Decoding for Faster CGH Reconstruction
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Solution Overview
Problem
The calculation time for Computer-Generated Holograms (CGHs) from multiple plane images (MPIs) is excessively high, especially when the input is in a layer-based format, which is a challenge for real-time hologram display.
Innovation Solution
The method involves encoding and decoding data representative of patches in MPIs, where each patch has a first location in a 3D scene and a second location in a reduced-size image, optimizing the calculation time by minimizing the size of each layer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If layer-based format is used for MPI input, then the structure is simplified and easier to process, but the calculation time for CGH becomes excessively high
Solution Approach 1:
The patent divides the MPI processing into two distinct formats: a first format optimized for CGH calculation that minimizes calculation time, and a second format that preserves the original layer-based structure for easy processing and editing. This segmentation allows each format to serve its specific purpose without compromise.
Solution Approach 2:
The patent creates a copy of the MPI data in a transformed format specifically optimized for CGH calculation. This copy contains the necessary information for rapid hologram generation while the original layer-based structure is preserved for further processing and editing operations.
2Productivity
If the size of each layer is minimized to reduce calculation time, then real-time display becomes feasible, but the representation of the 3D scene may be compromised
Solution Approach 1:
The patent introduces a temporal dimension by maintaining multiple representations of the same data: the original layer-based format for accurate scene representation and editing, and a transformed format optimized for rapid CGH calculation. This allows the system to switch between fidelity and speed as needed.
Solution Approach 2:
The patent performs preliminary transformation of the MPI data into a calculation-optimized format before CGH generation. This pre-processing step reorganizes the data structure to enable faster computation while preserving all necessary information for accurate hologram reconstruction.
3Reliability
If traditional CGH calculation methods are used on layer-based MPI, then the complete 3D information is preserved, but the computation cost is huge
Solution Approach 1:
The patent applies different quality optimizations to different parts of the processing pipeline: the original layer-based structure is preserved for regions requiring accurate 3D representation and editing, while a transformed version with optimized data organization is used specifically for the CGH calculation portion to reduce computational cost.
Solution Approach 2:
The patent changes the organizational parameters of the MPI data structure to optimize for calculation. By transforming the data layout and organization rather than the actual 3D content, the system achieves faster computation while maintaining complete information fidelity for hologram generation.
Data Source
AI summary
A method and an apparatus for reconstructing a Computer-Generated Hologram from a multiple plane image are provided. Reconstructing the Computer-Generated Hologram comprises decoding data representative of at least one patch of at least one layer of the multiple plane image, the data comprising a first location for placing the patch in a first image of the multiple plane image, the first location being used for placing reconstructed content of the patch in a 3D scene, and determining for the at least one patch a second location for placing the patch in a second image, the second image being intended to be used for determining the Computer-Generated Hologram.