Image Sensor Exposure Control for Multi-Object Brightness
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Solution Overview
Problem
Current image capturing technologies struggle to ensure that multiple target objects, such as human faces, human bodies, and license plates, achieve optimal capture effects simultaneously, as existing methods can only guarantee the capture requirements for one object at a time, leading to suboptimal brightness for all objects in a captured image.
Innovation Solution
An image capturing method and apparatus that predicts the projection area position and exposure brightness of target objects, adjusts exposure parameters based on object type and estimated brightness, and acquires new images at the adjusted parameters to ensure all target objects reach desired brightness levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single exposure parameter is used for the entire image, then the capture process is simple and fast, but only one target object can achieve required capture effect while other objects have suboptimal brightness
Solution Approach 1:
The patent divides the image sensor into multiple regions corresponding to different target objects (human face, human body, license plate) and applies different exposure parameters to each region. This segmentation allows each object to receive optimized exposure settings while maintaining overall system functionality.
Solution Approach 2:
The patent implements local exposure adjustment by determining exposure parameters specifically for each target object's projection area position on the image sensor. Different objects receive different exposure brightness information and corresponding exposure parameters, enabling localized optimization of capture quality for each object type.
2Reliability
If exposure parameters are adjusted for each target object individually, then all target objects can achieve optimal capture effects, but the capture process becomes more complex and computationally intensive
Solution Approach 1:
The patent performs preliminary determination of target object types and their projection area positions before actual image capture. By pre-calculating the required exposure parameters based on predicted projection positions and object types, the system prepares all necessary exposure settings in advance, enabling rapid execution during the actual capture moment without significant computational delay.
3Manufacturing precision
If the system predicts and adjusts exposure parameters based on object type and brightness, then image quality for all objects improves, but the processing complexity and computational burden increase
Solution Approach 1:
The patent implements an automated exposure adjustment system that independently determines target object types, predicts projection positions, calculates required exposure parameters, and executes the capture without requiring manual intervention. The system serves itself by automatically processing and adjusting exposure settings based on the captured image content, reducing the need for complex manual control mechanisms.
Data Source
AI summary
Provided are an image capturing method and apparatus, a device and a storage medium. The method includes: at a new acquisition moment, predicting a predicted projection area position of a target object in a current captured image on an image sensor and estimated exposure brightness information of the target object in the predicted projection area position; adjusting, according to a type of the target object and the estimated exposure brightness information, an exposure parameter of the target object in the predicted projection area position when the new acquisition moment arrives; and acquiring a new captured image at the new acquisition moment according to the adjusted exposure parameter, where both the new captured image and the current captured image include the target object.