Sonar Image Rendering via 2D Plane Projection
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Solution Overview
Problem
Sonar data is typically very sparse and noisy, making it difficult to produce high-quality images, as existing imaging technologies are not suited for sparse data and require significant computational resources, leading to a tradeoff between resolution and processing time.
Innovation Solution
The method reduces three-dimensional sonar data to two-dimensional circles on planes in a three-dimensional space, using defined reflectivity and opacity characteristics to create an optical image, allowing for improved image quality by partitioning the data volume into slabs and assigning two-dimensional mathematical objects like circles with intensity functions, enabling partial transmission and reflection of light.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional imaging technologies are used to process sonar data, then image quality can be improved, but computational resources and processing time increase significantly
Solution Approach 1:
The patent transforms three-dimensional sonar data into two-dimensional representations by projecting volumetric data onto 2D planes. This dimensional reduction simplifies the data structure while preserving essential visual information, enabling faster processing and reducing computational resource requirements while maintaining image quality.
Solution Approach 2:
The patent divides the three-dimensional sonar data into multiple two-dimensional slices or planes. By segmenting the volumetric data into manageable 2D components, the system can process each slice independently and efficiently, reducing overall computational complexity while reconstructing the complete image from these segmented parts.
2Measurement precision
If sonar data is processed to improve resolution, then image detail increases, but data sparsity and noise remain problematic
Solution Approach 1:
The patent applies optical transfer functions that modify parameters such as reflectivity, opacity, and transmission characteristics of virtual surfaces. By adjusting these optical parameters, the system enhances image quality and resolves ambiguities in sparse sonar data without requiring additional data processing, effectively improving both resolution and data reliability simultaneously.
Data Source
AI summary
Sonar imaging data is reduced by assigning partially reflective and/or opaque two dimensional areas for each data point to a series of planes. The reflectivity and/or transmission of light from the areas is calculated and used to construct an image.