Imaging System Foveal Peripheral Sampling Rate Optimization
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Solution Overview
Problem
Imaging systems face increased size, weight, computational, and power burdens due to signal processing, necessitating a reduction in processing demands, particularly in peripheral regions to alleviate these issues.
Innovation Solution
Implementing a faster sampling rate for foveal array elements and a slower sampling rate for peripheral array elements in a focal plane array, allowing for reduced processing of foveal and peripheral image data, respectively, to optimize resource utilization and adjust the foveal region dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal processing is increased to improve image quality, then image quality is improved, but size, weight, computational burden, and power consumption increase
Solution Approach 1:
The patent applies different sampling rates to different regions of the focal plane array - a first (faster) sampling rate for the foveal region and a second (slower) sampling rate for the peripheral region. This local differentiation allows the system to concentrate processing resources where they are most needed (center of vision) while reducing processing in less critical areas, thereby improving image quality where it matters most without proportionally increasing power consumption across the entire system.
2Measurement precision
If signal processing is increased to improve image quality, then image quality is improved, but computational burden increases
Solution Approach 1:
The patent implements region-specific sampling where the foveal region receives a first sampling rate and the peripheral region receives a second sampling rate. This approach concentrates computational resources on processing the central region of interest while using fewer resources for the periphery, thereby maintaining image quality in critical areas without proportionally increasing the overall computational burden of the system.
3Ease of operation
If uniform sampling rate is applied to all array elements, then processing is simplified, but processing efficiency decreases due to unnecessary processing in peripheral regions
Solution Approach 1:
The patent divides the focal plane array into a foveal region and a peripheral region, applying a first sampling rate to the foveal region and a second sampling rate to the peripheral region. This local differentiation improves processing efficiency by concentrating computational resources on the visually critical foveal region while reducing processing in the peripheral region, thereby achieving better overall processing efficiency without significantly complicating the system operation.
4Speed
If faster sampling rate is applied to all array elements, then temporal resolution is improved, but power consumption and processing burden increase
Solution Approach 1:
The patent applies a first (faster) sampling rate to the foveal region and a second (slower) sampling rate to the peripheral region of the focal plane array. This approach improves temporal resolution where it is most needed (in the center of vision) while reducing power consumption by using a slower sampling rate in the peripheral region, thereby achieving a balance between temporal resolution and power consumption.
Data Source
AI summary
According to certain embodiments, foveal array elements of a foveal region of a focal plane array are sampled at a faster sampling rate to yield foveal array data. Peripheral array elements of a peripheral region of the focal plane array are sampled at a slower sampling rate or sparser sampling density to yield peripheral array data. The foveal array data is processed to yield foveal image data for a foveal region of a display. The peripheral array data is processed to yield peripheral image data for a peripheral region of the display.