Dual Camera Normalcy Detection via Image Comparison
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Solution Overview
Problem
There is no effective solution in existing technologies to determine whether a photographing unit in electronic devices, such as smartphones or tablets, is normal, leading to poor photographing effects due to issues like blurry areas or blockages.
Innovation Solution
An image processing method and apparatus that compares images captured by two photographing units with overlapping acquisition regions to determine their normalcy by calculating offsets, similarities, and block region mismatches, allowing for the synthesis of high dynamic range images only when both units are functioning correctly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image processing is performed to determine photographing unit normalcy, then photographing quality is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical or hardware-based detection methods with software-based image processing algorithms. By using computational methods to analyze captured images and determine photographing unit normalcy, the system avoids additional physical sensors or complex mechanical detection mechanisms, thus improving reliability while controlling device complexity.
Solution Approach 2:
The patent uses the captured image itself as a copy or representation of the photographing unit's state. By analyzing the image content, patterns, and characteristics, the system can infer the normalcy of the photographing unit without needing separate detection hardware. This approach leverages the existing image data to perform diagnostic functions.
2Measurement precision
If multiple photographing units are used with overlapping acquisition regions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges the functions of multiple photographing units by having them capture images of the same scene with overlapping acquisition regions. The images from both units are processed together to determine normalcy, combining their diagnostic capabilities while using a unified processing framework that manages complexity.
Solution Approach 2:
The patent segments the image analysis process into distinct steps: capturing images with multiple units, identifying overlapping regions, analyzing those regions for normalcy determination. This segmentation allows the complex task of multi-unit detection to be broken down into manageable processing stages.
Data Source
AI summary
This application provides an image processing method and an electronic device. The method includes: obtaining a first image and a second image that are acquired at a same acquisition moment, where the first image is obtained by using a first photographing unit to acquire an image in a first acquisition region, and the second image is obtained by using a second photographing unit to acquire an image in a second acquisition region, where a parameter of the first photographing unit and a parameter of the second photographing unit are the same, and there is an overlapping acquisition region between the first acquisition region and the second acquisition region; and determining, according to the first image and the second image, whether the first photographing unit and the second photographing unit are normal.