Image Region Exposure Adjustment for High-Contrast Scenes
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Solution Overview
Problem
Devices with shooting functions often struggle to capture high-quality images in environments with varying light conditions, particularly those with large contrast, as existing settings may lead to overexposure or underexposure, resulting in image distortion and loss of details.
Innovation Solution
A method and device that determine two combined regions in a pre-shot image based on gray values, adjust exposures accordingly, and splice adjusted image regions to maintain consistent gray scale between bright and dark areas, thereby optimizing image quality by retaining scene details and avoiding overexposure or underexposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single exposure setting is used for shooting in high-contrast environments, then the shooting operation is simple, but the image quality deteriorates due to overexposure or underexposure
Solution Approach 1:
The patent segments the image into multiple exposure regions (first exposure region for highlight areas, second exposure region for non-highlight areas) and processes each region with appropriate exposure settings. This allows different parts of the image to be captured at different exposures, resolving the contradiction between simple operation and high image quality in high-contrast environments.
Solution Approach 2:
The patent dynamically adjusts exposure settings based on the detected highlight regions in the pre-shot image. By identifying areas that require different exposure levels and applying corresponding exposure adjustments, the system adapts to high-contrast conditions while maintaining operational simplicity through automated region-based processing.
2Manufacturing precision
If exposure settings are optimized for adequate light environments, then small contrast scenes are captured well, but high-contrast scenes suffer from overexposure or underexposure
Solution Approach 1:
The patent applies different exposure qualities to different regions of the image based on local characteristics. Highlight regions are processed with one exposure setting while non-highlight regions use another, allowing the system to maintain high image quality across varying light conditions and contrast levels, thereby improving adaptability to different environments.
Solution Approach 2:
The patent changes exposure parameters dynamically based on the detected scene characteristics. By adjusting exposure settings according to the identified highlight regions and their corresponding areas, the system adapts to different light environments (adequate light, high contrast, low light) while maintaining optimal image quality for each condition.
3Manufacturing precision
If multiple exposures are used to capture different regions, then image quality improves, but the processing complexity increases
Solution Approach 1:
The patent segments both the image and the processing steps into manageable regions and operations. By dividing the image into highlight and non-highlight regions and processing each with appropriate exposure settings, the system achieves high image quality while keeping processing complexity manageable through region-based segmentation.
Solution Approach 2:
The patent performs preliminary identification of highlight regions and determination of corresponding image regions before final image processing. This preliminary action allows the system to plan the exposure adjustments in advance, reducing the complexity of the actual processing step while maintaining high image quality through targeted exposure management.
Data Source
AI summary
One or more embodiments of the present application provide a processing method of a scene image of a device with a shooting function, the device with the shooting function and a storage medium. The method includes: determining first and second combined regions in a pre-shot image of a shot scene according to gray values of pixels in the pre-shot image; determining first and second exposures according to the determined first and second combined regions respectively; adjusting respectively gray values of pixels in a first image region corresponding to the first combined region in a first image shot at the first exposure, and gray values of pixels in a second image region corresponding to the second combined region in a second image shot at the second exposure; and splicing the two adjusted image regions together to obtain the scene image.