Computational Optics GPU Light Bundle Pre-Processing
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Solution Overview
Problem
Current image processing technologies face challenges in effectively managing and controlling light bundles at the point of image capture, limiting high-performance processing of pixel-level data and associated optics functions.
Innovation Solution
Integration of GPU processing power at the optics level to pre-process light bundles before image capture, assigning processing elements to manage and control light bundles, and configuring optics based on pre-processed image features to optimize image acquisition and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If GPU processing is integrated at the optics level to pre-process light bundles, then image processing performance and control capability are improved, but device complexity increases
Solution Approach 1:
The patent merges GPU processing elements directly into the optics level, combining computational processing with optical light bundle management in a single integrated system. This allows parallel processing of multiple light bundles simultaneously, achieving high-performance image processing while maintaining a unified device architecture rather than separate processing and optical components
Solution Approach 2:
The patent segments the optics into multiple independently controllable light bundles, with dedicated processing elements assigned to each bundle. This segmentation enables parallel processing of different image regions or characteristics, improving overall processing performance while allowing modular management of complexity through discrete controllable units
2Measurement precision
If processing elements are assigned to each light bundle for local control, then processing precision and adaptability are improved, but device complexity increases
Solution Approach 1:
The patent implements local quality by assigning specific processing elements to control individual light bundles, enabling pixel-level or region-level processing precision. Each processing element can independently manipulate its assigned light bundle with high precision, allowing localized image processing operations while maintaining overall system functionality through this distributed architecture
3Productivity
If pre-processing is performed at the optics level, then downstream processing requirements are reduced, but energy consumption increases
Solution Approach 1:
The patent performs preliminary processing actions at the optics level by pre-processing light bundles before they reach the sensor. This preliminary action includes operations such as light modulation, filtering, and initial image processing that reduce the computational burden on downstream processing systems, enabling more efficient final image processing with less energy-intensive post-processing required
Data Source
AI summary
A system and method for controlling characteristics of collected image data are disclosed. The system and method include performing pre-processing of an image using GPUs, configuring an optic based on the pre-processing, the configuring being designed to account for features of the pre-processed image, acquiring an image using the configured optic, processing the acquired image using GPUs, and determining if the processed acquired image accounts for feature of the pre-processed image, and the determination is affirmative, outputting the image, wherein if the determination is negative repeating the configuring of the optic and re-acquiring the image.