3D Image Data Compression via Phase Amplitude Segmentation
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Solution Overview
Problem
Current technologies for 3-D imaging and viewing face challenges in efficiently compressing and processing data for 3-D projectors, which affects data transfer and storage efficiency, and existing methods do not effectively utilize phase and amplitude information for 3-D image formation.
Innovation Solution
The proposed solution involves methods and apparatus for compressing and uncompressing data used for 3-D image formation, including processors that compress phase and amplitude information differently to reduce data bits, and systems that capture and display 3-D images using optical intensity and phase information, with data compression techniques such as quantization and averaging to facilitate efficient data transfer and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is applied to reduce data bits for 3-D image formation, then data transfer and storage efficiency is improved, but the precision of phase and amplitude information may be degraded
Solution Approach 1:
The patent segments phase and amplitude information into different compression categories. Phase information is compressed with higher precision (e.g., 10-12 bits) while amplitude information is compressed with lower precision (e.g., 6-8 bits), reflecting their different importance for 3-D visual perception. This selective segmentation resolves the contradiction by preserving critical phase data while reducing overall data volume.
Solution Approach 2:
The patent applies different compression quality levels to different types of data within the same 3-D image dataset. By assigning higher bit-depth compression to phase information and lower bit-depth compression to amplitude information, the system optimizes the local quality of each data component according to its perceptual importance, thereby maintaining overall image quality while reducing total data size.
2Manufacturing precision
If phase and amplitude information are compressed with high precision, then 3-D visual quality is improved, but data transfer time and storage requirements increase
Solution Approach 1:
The patent applies partial compression action by compressing phase and amplitude information to different extents based on their relative importance. Phase information receives more aggressive compression (higher precision retention) while amplitude information receives less aggressive compression (lower precision retention). This partial differentiation achieves acceptable 3-D visual quality with reduced total data volume and faster transfer times.
3Productivity
If different compression methods are applied to phase and amplitude, then data efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent changes the compression parameters (bit-depth) for phase and amplitude information differently. By setting distinct precision levels for each data type (e.g., 10 bits for phase, 6 bits for amplitude), the system optimizes the balance between processing efficiency and output quality. This parameter differentiation improves overall data processing efficiency while keeping the complexity increase manageable through standardized compression algorithms.
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
This approach enables efficient data transfer and storage while maintaining sufficient 3-D visual cues, allowing for effective 3-D image formation and display, reducing the time and resources required for data handling and storage.
Implementation Method 1
The data includes information representative of an interference of an optical intensity image of the object and a reference beam
Data Source
AI summary
Image acquisition instruments may be employed to capture images used to produce data for driving 3-D projectors. The data obtained from the image acquisition instruments may be compressed. Projectors may also be used to form 3-D images of the object based on the compressed data after decompressing the data. Accordingly, various embodiments described herein involve the formatting of the data such as compressing the data or un-compressing the data.