Dynamic Exposure Control for Moving Objects in Imaging Systems
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Solution Overview
Problem
Conventional imaging technologies face challenges in capturing images with wide luminance ranges without causing excessive blur, especially when dealing with moving objects, as they struggle to adjust exposure times effectively across varying luminance levels.
Innovation Solution
An imaging apparatus that includes a detection unit for identifying moving object areas, a calculation unit for determining luminance levels, and a determination unit to set individual exposure times for each pixel or area within the moving object area, allowing for dynamic exposure control based on calculated luminance values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single exposure time is used for the entire image, then the imaging process is simple, but images with wide luminance ranges suffer from excessive blur or poor exposure in certain areas
Solution Approach 1:
The image is divided into multiple regions (first region and second region) based on luminance characteristics and motion detection. Each region is assigned a different exposure time, allowing precise exposure control for each area while managing overall system complexity through region-based segmentation rather than pixel-level control.
Solution Approach 2:
Different exposure times are applied to different regions of the image based on their specific luminance characteristics and motion content. The first region (with moving objects or wide luminance range) uses a shorter exposure time, while the second region (static or narrow luminance range) uses a longer exposure time, optimizing exposure quality locally for each region.
2Manufacturing precision
If a short exposure time is used to capture moving objects, then motion blur is reduced, but dark areas in the image become underexposed
Solution Approach 1:
The image is segmented into regions based on motion detection and luminance characteristics. Regions containing moving objects are assigned shorter exposure times to reduce motion blur, while static regions are assigned longer exposure times to ensure adequate brightness, thus resolving the contradiction between motion capture and overall image brightness.
Solution Approach 2:
Different exposure times are applied locally to different regions: shorter exposure times for regions with moving objects to minimize motion blur, and longer exposure times for static regions to maintain adequate brightness levels, achieving optimal local exposure quality throughout the image.
3Illumination intensity
If a long exposure time is used to ensure adequate brightness, then dark areas are well-exposed, but moving objects become blurred
Solution Approach 1:
The image is divided into regions based on motion detection results. Regions containing moving objects are identified and assigned shorter exposure times to prevent motion blur, while static regions are assigned longer exposure times to ensure adequate brightness, thus resolving the contradiction between overall brightness and motion capture precision.
Solution Approach 2:
Different exposure times are applied to different regions based on their motion characteristics. Static regions receive longer exposure times for adequate brightness, while regions with moving objects receive shorter exposure times to maintain sharpness, achieving optimal local quality for each region.
4Manufacturing precision
If different exposure times are determined for each pixel, then exposure precision is maximized, but processing complexity and computational load increase significantly
Solution Approach 1:
Instead of determining exposure times for each individual pixel, the image is segmented into regions based on motion detection and luminance characteristics. Exposure times are determined for each region, significantly reducing processing complexity while maintaining adequate exposure precision through region-based control.
Solution Approach 2:
The exposure time determination is made dynamic and adaptive based on detected motion and luminance characteristics. The system automatically adjusts exposure times for different regions based on real-time scene analysis, achieving high precision without requiring manual configuration or excessive computational resources.
Data Source
AI summary
An apparatus includes an imaging unit configured to capture an image with an exposure time determined for each pixel or for each area including a plurality of pixels, a detection unit configured to detect a moving object area from the captured image, a calculation unit configured to calculate a luminance of each of a plurality of the pixels or the areas that is included in the detected moving object area, and a determination unit configured to determine, for each of the plurality of pixels or areas included in the moving object area, a different exposure time in a predetermined range based on the calculated luminance.


