Image Signal Processor Flicker Correction via Segmented Waveform and Reference Methods
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Solution Overview
Problem
Existing image signal processing methods inadequately remove flicker components from image signals, particularly in environments with changing light source frequencies and frame rates, leading to incomplete correction and reduced accuracy.
Innovation Solution
An image signal processor comprising an integrator, a first flicker corrector that extracts and reduces flicker components based on light source frequency, and a second flicker corrector that generates a reference image without flicker components, using a combination of waveform approximation and level-change detection to dynamically adjust correction methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If waveform approximation method is used to correct flicker, then resistance to level change is improved, but correction accuracy deteriorates
Solution Approach 1:
The flicker correction process is divided into two distinct stages: first, waveform approximation is applied to provide robustness against level changes; second, reference image-based correction is applied to achieve high correction accuracy. This segmentation allows each method to be optimized for its specific strength while avoiding their respective weaknesses.
Solution Approach 2:
The patent combines two previously separate flicker correction methods (waveform approximation and reference image-based correction) into a unified correction pipeline. By merging these methods sequentially, the system achieves both the level-change resistance of waveform approximation and the high accuracy of reference image correction.
2Measurement precision
If reference image method is used to correct flicker, then correction accuracy is improved, but vulnerability to level change worsens
Solution Approach 1:
Waveform approximation is applied as a preliminary action before reference image-based correction. This preliminary processing removes the bulk of flicker components and provides level-change robustness, creating a stable foundation for the subsequent high-accuracy reference image correction method.
3Device complexity
If single method is used for flicker correction, then device complexity is reduced, but flicker removal completeness deteriorates
Solution Approach 1:
The correction system is segmented into two functional blocks: a waveform approximation unit and a reference image correction unit. This segmentation enables comprehensive flicker removal by addressing different aspects of the flicker problem, while keeping each individual unit relatively simple in design.
Data Source
AI summary
Provided is an image signal processor, including: an integrator configured to integrate each frame of an image signal; a first flicker corrector configured to extract a flicker component from the integrated value obtained by the integrator, the flicker component depending on a frequency of a light source, and to reduce a flicker component from the integrated value sequentially; and a second flicker corrector configured to generate a reference image without a flicker component based on the correction result of the integrated value corrected by the first flicker corrector, and to correct a flicker of the image signal based on the reference image.


