Region-Based Shutter Adaptation for Non-Uniform Image Exposure
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Solution Overview
Problem
Conventional shutter control methods fail to extract complete information from non-uniformly illuminated images, as they apply uniform exposure parameters across the entire image, leading to underexposure of regions with varying brightness levels, resulting in lost information or features.
Innovation Solution
A region-based shutter adaptation method that segments images into non-overlapping regions and applies distinct exposure parameters, such as different exposure durations, based on the brightness values of each region to optimize image exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uniform exposure parameters are applied across the entire image, then the shutter control method is simple and fast, but regions with varying brightness levels become underexposed and information is lost
Solution Approach 1:
The image is divided into multiple non-overlapping regions based on brightness thresholds. Each region is then processed with customized exposure parameters tailored to its specific brightness characteristics, ensuring that no information is lost due to uniform exposure constraints.
Solution Approach 2:
Different exposure parameters are applied to different regions of the image according to their brightness values. Brighter regions receive shorter exposure durations while darker regions receive longer exposure durations, optimizing the extraction of information from each local area according to its specific quality characteristics.
2Measurement precision
If exposure parameters are adapted to the brightest region, then that region is properly exposed, but darker regions become underexposed and lose information
Solution Approach 1:
The image is segmented into multiple brightness-based regions, allowing each region to be optimized independently. This segmentation enables the brightest region to receive appropriate exposure while darker regions receive adjusted exposure parameters to prevent information loss.
Solution Approach 2:
Exposure parameters are customized for each region based on its brightness characteristics. The brightest region receives one set of parameters optimized for its brightness, while darker regions receive different parameters suited to their lower brightness levels, ensuring all regions maintain adequate exposure for information extraction.
3Measurement precision
If exposure parameters are adapted to the darkest region, then that region is properly exposed, but brighter regions become overexposed and lose information
Solution Approach 1:
The image is divided into multiple brightness regions, enabling independent optimization of exposure parameters for each region. This allows the darkest region to receive appropriate exposure while brighter regions receive adjusted parameters to prevent overexposure and information loss.
Solution Approach 2:
Different exposure parameters are applied to different regions according to their brightness values. The darkest region receives parameters optimized for its low brightness, while brighter regions receive different parameters that prevent overexposure, ensuring all regions maintain adequate exposure for information extraction.
4Device complexity
If a single exposure region covers the whole image, then the shutter control method is simple, but regions with varying brightness levels cannot be properly exposed
Solution Approach 1:
The image is segmented into multiple non-overlapping brightness regions, each requiring different exposure parameters. This segmentation approach enables proper exposure of non-uniformly illuminated regions while maintaining manageable system complexity through automated region detection and parameter assignment.
Solution Approach 2:
The shutter control system dynamically adjusts exposure parameters based on the brightness characteristics of different regions. The system adapts its behavior from a static single-exposure-mode to a dynamic multi-parameter mode that responds to the specific brightness distribution of each region, optimizing information extraction.
Data Source
AI summary
The present invention discloses a region based shutter adaptation method for image exposure. The method includes the steps of: (a) providing an image which is non-uniformly illuminated; (b) segmenting the image into two or more non-overlapping regions; (c) identifying brightness values for each of the regions when more than one brightness value has been produced for each of the regions; (d) applying the whole image with different shutters for different regions; and (e) exposing different regions for different exposure durations according to the brightness values respectively assigned to the regions, so that the present invention is capable of enabling different regions within the whole image which is non-uniformly illuminated to have different shutter adaptions.