Region-Based Exposure Prediction for Moving Subject Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image capturing systems struggle to dynamically adjust exposure conditions for different regions of an image sensor, particularly when subject movement or lighting changes occur, leading to inconsistent image quality.
Innovation Solution
An image capturing apparatus with an image sensor having multiple regions, each with adjustable exposure parameters, includes a detection unit to identify feature regions, a calculation unit to set exposure parameters based on luminance, a prediction unit to forecast similar regions in subsequent images, and a control unit to apply these parameters to the predicted regions, ensuring optimal exposure settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If exposure parameters are set for each region of the image sensor, then image quality consistency is improved, but device complexity increases
Solution Approach 1:
The image sensor is divided into multiple regions, each with independently settable exposure parameters. The detection unit identifies specific regions of interest, and the control unit applies appropriate exposure parameters to each region, enabling differentiated exposure control across the image sensor surface.
Solution Approach 2:
The system pre-calculates exposure parameters for multiple potential regions based on luminance information from a first image. By predicting which region will be captured next and pre-setting the exposure parameters, the system avoids real-time calculation delays and ensures consistent image quality without complex runtime decision-making.
2Manufacturing precision
If exposure parameters are dynamically adjusted for moving subjects, then image quality is improved, but processing time increases
Solution Approach 1:
The system performs luminance measurement and exposure parameter calculation in advance using a first image captured before the actual subject capture. By predicting the next captured region and pre-calculating exposure parameters, the system eliminates real-time processing delays while maintaining adaptive exposure control for moving subjects.
Solution Approach 2:
The system uses luminance information from a first image as a proxy or copy to predict exposure requirements for the second image. By analyzing the luminance characteristics of the first captured region and applying similar exposure parameters to the predicted second region, the system avoids direct real-time measurement and calculation for each capture.
3Illumination intensity
If multiple regions have different exposure settings, then dynamic range is improved, but measurement precision deteriorates
Solution Approach 1:
Different exposure parameters are applied to different regions of the image sensor based on local luminance characteristics. The detection unit identifies regions with varying luminance levels, and the control unit assigns appropriate exposure settings to each region, enabling the system to capture both bright and dark areas with optimal detail.
Solution Approach 2:
The system dynamically changes exposure parameters (such as exposure time or gain) for different regions based on measured luminance values. By adjusting these parameters according to the specific luminance conditions of each region, the system expands the overall dynamic range while maintaining measurement accuracy through region-specific optimization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus effectively maintains consistent image quality by dynamically adjusting exposure settings for moving subjects and changing lighting conditions, enhancing the dynamic range and reducing over/underexposure issues.
Implementation Method 1
an image sensor having an image capturing surface including a plurality of regions for each of which an exposure-related parameter is settable
Data Source
AI summary
An image capturing apparatus includes an image capturing unit including an image sensor having an image capturing surface including a plurality of regions for each of which an exposure-related parameter is settable, a calculation unit configured to calculate the exposure-related parameter for at least one region corresponding to a first region among the plurality of regions based on a luminance of the first region in a first image, a prediction unit configured to predict a second region in a second image to be captured after the first image, the second region being similar to the first region, and a control unit configured to perform control so that the calculated exposure-related parameter for the at least one region is applied to at least one region corresponding to the predicted second region among the plurality of regions and that the image capturing unit captures the second image.