Flicker Detection Using Differential Vectors and Square Wave Correlation
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Solution Overview
Problem
Existing flicker detection methods in image capture devices, such as digital cameras and smartphones, suffer from low efficiency and accuracy in detecting flickers under fluorescent lamp illumination due to their reliance on light detectors and frequency calculations.
Innovation Solution
A flicker detection apparatus and method that calculates differential vectors between neighboring frames and uses square waves of specific frequencies to determine mean detection values, allowing for efficient and accurate flicker detection by comparing these values to threshold conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing flicker detection methods using light detectors and frequency calculations are employed, then flicker detection can be performed, but the detection efficiency and accuracy are relatively low
Solution Approach 1:
The patent replaces the traditional light detector-based mechanical detection system with a computational approach using image processing algorithms. The method uses differential vectors between neighboring frames and square wave correlation analysis to detect flickers, substituting physical detection with digital signal processing to achieve both high accuracy and efficiency
Solution Approach 2:
The patent performs preliminary calculations by pre-computing differential vectors between neighboring frames and storing them for subsequent analysis. This preliminary action allows the flicker detection to quickly reference pre-processed data rather than performing real-time complex calculations, thereby improving detection efficiency without sacrificing accuracy
2Reliability
If existing flicker detection methods divide columns into several portions and calculate average values, then flicker detection can be performed, but the detection efficiency and accuracy remain relatively low
Solution Approach 1:
The patent extracts the essential flicker information by calculating differential vectors between neighboring frames, isolating the relevant signal components that contain flicker characteristics. This extraction approach simplifies the analysis by focusing only on the differential changes rather than processing entire frame images, reducing complexity while maintaining reliability
Solution Approach 2:
The patent transforms the detection parameters by using dot products of differential vectors with square waves of specific frequencies. This parameter transformation converts the flicker detection problem into a frequency correlation analysis, changing the approach from spatial averaging to temporal frequency analysis, which improves reliability without significantly increasing complexity
Data Source
AI summary
A flicker detection apparatus and method where flickers in the video images are detected based on the mean detection values obtained from pairs of neighboring frames in the current frame and the former n frames, which is able to perform flicker detection efficiently, and the detection results are accurate.