Hologram Pattern Generation Using Depth Quantization
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Solution Overview
Problem
Current 3D image technologies, such as stereo 3D and multi-view 3D images, fail to provide a realistic representation of depth and motion parallax, limiting the viewing experience, especially outside an optimum viewing zone, whereas holograms offer a natural 3D space representation but are computationally intensive to generate in real time.
Innovation Solution
The method involves a depth quantizer that reduces the number of depth layers in a depth image using uniform or non-uniform quantization levels, grouping samples based on distance, and a hologram pattern generator that uses color image information to create a hologram pattern in a hologram plane, optimizing the number of depth layers for efficient computation and realistic depth representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of depth layers is reduced through quantization, then computational complexity is decreased and real-time generation is enabled, but depth representation precision may be compromised
Solution Approach 1:
The patent applies non-uniform quantization levels where different depth ranges are quantized with different precisions. Specifically, closer depth values (smaller z) use finer quantization steps while farther depth values (larger z) use coarser quantization steps. This local differentiation maintains high precision for critical near-field depth representation while reducing overall computational load, thus resolving the contradiction between real-time generation and depth precision.
Solution Approach 2:
The patent dynamically adjusts the quantization level parameter based on the depth value being processed. By changing the quantization step size as a function of depth (using non-uniform quantization), the system optimizes the balance between computational complexity and depth representation accuracy for each local region, enabling real-time processing while maintaining sufficient precision for holographic display requirements.
2Device complexity
If uniform quantization levels are used, then processing is simplified, but depth representation accuracy deteriorates for distant objects
Solution Approach 1:
The patent implements local quality by applying different quantization strategies to different depth regions. The non-uniform quantization level assigns higher precision (smaller quantization steps) to near-field depth values and lower precision (larger quantization steps) to far-field depth values. This localized differentiation maintains simple processing for uniform regions while improving accuracy where needed, specifically for distant objects.
Solution Approach 2:
The patent introduces dynamic quantization where the quantization parameters are not fixed but adapt based on the depth value. The non-uniform quantization level dynamically adjusts the number of quantization steps or step size according to the depth range, allowing the system to optimize between processing simplicity and representation accuracy for each local depth region.
3Measurement precision
If more depth layers are used, then depth representation precision is improved, but computational complexity increases
Solution Approach 1:
The patent changes the quantization parameter (number of depth layers or quantization step size) based on the depth value. By using non-uniform quantization, the system allocates more depth layers (higher precision) for near-field regions where accuracy is critical, while using fewer depth layers (lower precision) for far-field regions. This parameter adaptation maintains high precision where needed while reducing overall computational complexity.
Solution Approach 2:
The patent applies local quality by differentiating the quality of depth representation across different spatial regions. The non-uniform quantization level creates locally optimized depth precision, with finer granularity for close objects and coarser granularity for distant objects. This localized approach maintains high precision for critical regions while reducing the total number of depth layers required, thus lowering computational complexity.
Data Source
AI summary
A method and apparatus for generating a hologram pattern using depth quantization may generate a hologram pattern corresponding to a three-dimensional (3D) object in a hologram plane using color image information of the 3D object and a point of the 3D object included in a quantized depth layer.