Image Sensor Color Cross-Talk Correction via Hyperbolic Functions
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Solution Overview
Problem
Current methods for correcting color cross-talk and green disparity in image sensors are either costly, power-intensive, difficult to fabricate, or fail to provide accurate and dynamic correction, especially when applied to unprocessed pixel outputs prior to color interpolation.
Innovation Solution
The use of hyperbolically varying correction functions to dynamically derive color correction factors based on pixel location and neighboring pixel outputs in the Bayer domain, allowing for electronic and accurate correction of color cross-talk and green disparity before or during color interpolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If color filter array is positioned as close as possible to active light sensitive areas or optical/mechanical mitigation methods are used, then color cross-talk is reduced, but image sensor cost and power consumption increase
Solution Approach 1:
The patent replaces optical/mechanical mitigation methods with a digital signal processing approach. Instead of using physical barriers or optical configurations to reduce color cross-talk, the system uses electronic correction algorithms that process pixel signals after they are generated, thereby eliminating the need for additional optical components and reducing power consumption associated with complex optical systems
Solution Approach 2:
The patent dynamically adjusts correction factors as parameters in the color cross-talk correction algorithm. By changing correction factors based on pixel location, neighboring pixel values, and image content, the system optimizes color accuracy without requiring complex hardware modifications, thus avoiding increased power consumption
2Device complexity
If color cross-talk correction is applied after color interpolation, then processing is simplified, but correction accuracy is reduced
Solution Approach 1:
The patent applies color cross-talk correction before color interpolation by processing raw pixel signals in the Bayer domain. This preliminary correction ensures that color distortion is addressed at the source level, improving accuracy by correcting data before it is mixed during interpolation, rather than attempting to correct already-interpolated images
3Device complexity
If static correction methods are used, then implementation is simpler, but dynamic adaptation to varying image conditions is lost
Solution Approach 1:
The patent implements dynamic correction by adjusting correction factors in real-time based on pixel location, neighboring pixel values, and image content. This dynamic approach allows the system to adapt to varying lighting conditions, sensor characteristics, and image content automatically, providing versatile correction without requiring manual calibration or complex user input
Data Source
AI summary
Embodiments of the present invention relate in general to systems and methods for dynamically correcting color cross-talk and related color distortion in an image sensor. More specifically, but not by way of limitation, certain embodiments of the present invention relate to correcting pixel outputs from a pixel array in an image sensor at the Bayer domain for color cross-talk and/or green disparity using hyperbolically varying correction functions to dynamically derive color cross-talk correction factors using pixel location on the pixel array, a selected pixel output and related outputs from neighboring pixels on the image sensor prior to or synchronous with color interpolation.