Multi-Camera Image Banding Detection via Exposure Time Variation
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Solution Overview
Problem
Conventional image capturing systems struggle to reliably detect and address image banding, or flicker, across various environmental power frequencies, limiting their utility.
Innovation Solution
A multi-camera processing system that concurrently captures multiple images using different exposure times, generates a difference image, and performs frequency analysis to detect flicker, allowing for automatic adjustment of exposure times to reduce or eliminate image banding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional detection techniques are used, then detection can be performed for a particular power frequency, but the system lacks flexibility and cannot adapt to different environmental power frequencies
Solution Approach 1:
The system dynamically adjusts the detection process by capturing multiple images at different exposure times and adapting the frequency analysis based on the detected power frequency, allowing reliable detection across different environmental conditions
Solution Approach 2:
The system changes the exposure time parameter between multiple image captures to create detectable variations in banding patterns, enabling the detection algorithm to identify and adapt to different power frequencies
2Measurement precision
If multiple images at different exposure times are captured, then flicker detection accuracy improves, but the device complexity increases
Solution Approach 1:
The system uses its own captured images to perform frequency analysis and detect flicker, eliminating the need for external detection devices and reducing overall system complexity while maintaining high detection accuracy
Data Source
AI summary
A system for automatic image band detection includes concurrently capturing a first image of a scene with a first camera having a first exposure time and a second image of the scene with a second camera having a second exposure time. The system detects image banding for one of the first camera and the second camera based on the first image and the second image.