ADAPTIVE EXPOSURE CONTROL SYSTEM, FOR HIGH DYNAMIC RANGE SENSING OF PHENOMENA HAVING EXTREME VARIATION IN SIGNAL LEVEL

摘要

Disclosed is a system for combining multiple signals or sensor measurements, representing the same physical phenomenon, into a consolidated signal or measurement describing the given physical phenomenon more accurately or precisely, the system comprising a control system to automatically set or adjust the gain of the multiple signals or measurements, and a merging subsystem. The primary application is as an adaptive High Dynamic Range (HDR) sensing system. Disclosed are systems based on it. Such as for the viewing of electric are welding or other phenomena having extreme variation in exposure or signal level. In some embodiments the system includes a machine learning module that adapts to scene or subject matter changes, temporarily, spatially, or spatiotemoprally. Coupled dynamic dynamic-range (D2R) compositing operates by assembling sensor information, such as images or audio, from multiple "strong"" and "weak" exposures that are allowed to move and change over time, as lighting conditions or sound conditions change over time in their amplitude-domain properties. A feed back-control method automatically adjusts multiple exposure value settings for HDR compositing. To increase the dynamic range of a sensory process, such as video capture. The system is designed to asymptotically approach an optimal distribution of camera exposure control settings, under varying lighting conditions and motion, to capture an extremely high dynamic range for HDR compositing. This exposure array control system is designed to improve the effective dynamic range of cameras, audio recorders, and other sensors. Applications include an audio recorder that can be taken out of one's pocket, and used to record an earthquake or a ballistics test, and then the whispers of a mouse in a quiet room all without adjusting any volume or gain adjustments, and using ordinary sensors and ordinary analog-to-digital converters (ADC's) with a limited inherent dynamic range. Welding vision systems, autonomous robot and spacecraft vision systems, acoustic recorders in geology/mining, and scientific cameras and signal recorders, are all particular applications of this system, requiring extreme dynamic ranges with unpredictable, nonstationary signals. We have devised a new method for automatic exposure-setting" control, to enable coupled dynamic dynamic-range (CD2R) video compositing. Rather than an HDR system that needs to be tuned for each lighting scenario (e.g. indoors with two exposures, and then returned outdoors with three exposures when viewing the sun or welding). The feedback control system adapts to the dynamic histogram of each exposure image to control all the exposure settings in tandem. The dynamic-range is "covered" by a set of exposures which are moving over time, in response to varying conditions of the original signal.