Preview Image Brightness Enhancement via Distance-Based Target Area Analysis
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Solution Overview
Problem
When using a mobile terminal's shooting function, overexposure or underexposure can occur, leading to suboptimal image capture, as users lack real-time feedback on the expected image quality before taking multiple shots.
Innovation Solution
A method that involves obtaining a real-time image without a flashlight, determining target areas, calculating the distance to each area, and applying brightness enhancement based on the distance and flashlight parameters to display a preview image, allowing users to adjust settings before capturing images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the flashlight is not turned on during shooting, then the image may be underexposed, but turning on the flashlight may cause overexposure
Solution Approach 1:
The system performs preliminary brightness enhancement on the preview image by determining target areas and calculating brightness enhancement degrees based on distance and flashlight parameters before the actual shooting. This allows users to preview the expected image quality and adjust settings in advance, preventing both underexposure and overexposure issues.
Solution Approach 2:
The system changes the brightness parameter of specific target areas in the preview image based on calculated enhancement degrees. By adjusting brightness parameters dynamically according to distance and flashlight parameters, the system provides accurate exposure preview without actually turning on the flashlight during capture.
2Reliability
If multiple shots are taken to avoid overexposure or underexposure, then image quality may improve, but the shooting time increases
Solution Approach 1:
The system provides real-time feedback by displaying a brightness-enhanced preview image that shows the expected exposure effect before shooting. Users can see the anticipated image quality and adjust settings based on this feedback, eliminating the need for multiple trial shots and reducing shooting time while maintaining image quality.
3Illumination intensity
If brightness enhancement is applied to the entire image, then the preview brightness improves, but the processing complexity increases
Solution Approach 1:
Instead of applying brightness enhancement to the entire image, the system determines specific target areas and applies enhancement only to those regions. This local quality approach improves preview brightness where needed while minimizing processing complexity by avoiding full-image processing.
Solution Approach 2:
The system segments the image into target areas that require brightness enhancement and other areas that do not. By dividing the image processing task into specific regions of interest, the system reduces overall processing complexity while achieving the desired brightness improvement in critical areas.
Data Source
AI summary
A method for displaying a preview image, includes: obtaining a real-time image collected by an imaging device of a mobile terminal without turning on a flashlight; determining at least one target area in the real-time image; determining a distance between the mobile terminal and an entity corresponding to each of the at least one target area; determining a brightness enhancement degree for each of the at least one target area respectively according to the distance corresponding to each of the at least one target area and a flashlight parameter of the mobile terminal; and performing brightness enhancement on each of the at least one target area respectively according to the brightness enhancement degree for each of the at least one target area, and displaying the brightness-enhanced real-time image as a preview image.