Autoexposure Control for Multi-Imager Systems
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Solution Overview
Problem
In multiple imager systems, using auto exposure algorithms for each imager can result in exposure differences, leading to some imagers appearing darker or brighter than others, which affects the quality of video output.
Innovation Solution
A method where the auto exposure control circuit of a central imager sets exposure parameters based on target brightness and adjusts them based on brightness differences with other imagers, synchronizing exposure control across the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If auto exposure algorithms are used for each imager independently, then each imager can optimize its own exposure, but exposure differences occur between imagers causing inconsistent brightness in video output
Solution Approach 1:
The patent merges the exposure control functions of multiple imagers by designating one imager as the master and having other imagers synchronize to its exposure parameters. This combining approach maintains exposure optimization while ensuring brightness consistency across all imagers in the multi-imager system.
Solution Approach 2:
The patent creates equipotentiality in exposure control by having all imagers operate at the same exposure level through synchronization to a master imager. This ensures that all imagers have equal exposure status, eliminating brightness differences and achieving consistent video output across the multi-imager system.
2Stability of the object's composition
If a single auto exposure algorithm is used for all imagers, then brightness consistency is maintained, but the system loses the ability to independently optimize each imager's exposure
Solution Approach 1:
The patent segments the exposure control system into a master imager that performs the actual exposure optimization and multiple slave imagers that synchronize to maintain consistency. This segmentation allows the master to adapt independently while slaves maintain uniformity, resolving the contradiction between optimization and consistency.
Solution Approach 2:
The master imager acts as an intermediary between the auto exposure algorithm and the other imagers. It receives exposure control signals, optimizes its own exposure, and then distributes the synchronized exposure parameters to other imagers, enabling both optimization and consistency simultaneously.
3Stability of the object's composition
If exposure control is synchronized to a single master imager, then brightness consistency across imagers is achieved, but the system complexity increases due to master-slave coordination
Solution Approach 1:
The patent merges multiple exposure control circuits into a single effective control system by designating one master imager. This reduces the overall system complexity compared to having independent control for each imager, while still achieving brightness consistency through the master-slave synchronization mechanism.
Data Source
AI summary
A method for auto-exposure control in a multi-imager system is disclosed. The method comprises using an auto exposure control circuit of a first imager to set exposure control parameters based on a target brightness; and selectively adjusting the target brightness based on difference in brightness between the images from the first imager and images from other imagers in the system.