Adaptive Auto Exposure Control via Region Weighting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for controlling exposure in digital cameras, particularly in handheld devices, often result in improper exposure due to large luminance differences between objects and backgrounds, leading to poor image quality, especially under conditions like backlight or high contrast.
Innovation Solution
A method that divides an image into object and background regions, calculates their average luminances, and applies a weight-based adjustment to the object region's luminance to optimize exposure, ensuring accurate and rapid control under various conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If general auto exposure methods are used, then the exposure control is simple, but the image quality deteriorates under backlight or high contrast conditions
Solution Approach 1:
The image is divided into object region and background region, allowing separate luminance analysis for each region. This segmentation enables the system to handle high contrast and backlight conditions by treating different regions differently, improving image quality without requiring complex overall exposure control mechanisms.
Solution Approach 2:
Different weights are applied to object and background regions based on their luminance characteristics. The object region receives adaptive weighting to ensure proper exposure of the subject, while the background is handled separately. This local quality approach maintains simple overall control while improving specific region exposure quality.
2Measurement precision
If traditional auto exposure algorisms are used, then the control process is simple, but the measurement precision of exposure deteriorates
Solution Approach 1:
The exposure measurement is segmented into object region luminance and background region luminance calculations. By separately computing average luminances for each region and applying adaptive weighting, the system achieves higher measurement precision for the subject while keeping the algorism relatively simple through modular calculation steps.
Solution Approach 2:
The system dynamically changes the weighting parameter applied to object region luminance based on the luminance difference between object and background. When luminance difference is large (backlight/high contrast), higher weight is given to object region, improving exposure measurement accuracy for the subject without requiring complex multi-parameter control.
3Reliability
If equal weight is given to all regions, then the calculation is simple, but the object emphasis capability deteriorates
Solution Approach 1:
Instead of uniform weighting, the system applies local quality by giving different weights to object and background regions. The object region weight is adaptively determined based on luminance difference, ensuring proper object exposure emphasis while maintaining simple calculation through a single adaptive weight parameter rather than complex regional adjustments.
Solution Approach 2:
The weight parameter for object region is dynamically changed based on luminance difference conditions. When luminance difference exceeds a threshold (indicating backlight or high contrast), the object region weight increases to emphasize proper object exposure. This simple parameter change mechanism achieves reliable object emphasis without complex weight calculation systems.
Data Source
AI summary
Provided is a method of controlling adaptive auto exposure. In the method, a digital photograph captured from an object and a background is divided into an object region where the object is mainly located and a background region where the background is mainly located. Average luminances of the object and background regions are calculated, and a luminance difference between the average luminances of the object and background regions is calculated. If the luminance difference is within a predetermined range, an average luminance of the entire photograph is calculated by applying a weight to the average luminance of the object region, and exposure is controlled based on the calculated average luminance of the entire photograph so as to emphasize the object region.


