Dynamic Parametric Anti-Shading Correction for Image Sensors
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Solution Overview
Problem
Conventional anti-shading algorithms for wide angle optical lenses in compact digital cameras fail to accurately compensate for shading effects due to their reliance on static parametric components and limited illumination type dependencies, leading to suboptimal correction of shading effects across the image sensor array.
Innovation Solution
The proposed solution involves a dynamic parametric component for anti-shading correction, which is color channel and color correlated temperature (CCT) dependent, using a flexible parametric component and CCT-dependent grid components to model and correct shading effects, along with an Alpha matrix for cross-channel correction, allowing for more accurate compensation of shading across various illumination types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional static parametric components are used for anti-shading correction, then device complexity is reduced, but shading correction accuracy deteriorates under varying illumination conditions
Solution Approach 1:
The patent applies dynamics by transitioning from static parametric components to dynamic parametric components that adapt to varying illumination conditions. The anti-shading correction algorithm now uses parametric components that change based on color correlated temperature (CCT) values, allowing the system to maintain high correction accuracy across different lighting scenarios without requiring completely separate correction tables for each condition.
Solution Approach 2:
The patent implements parameter changes by making the parametric components dependent on color correlated temperature (CCT). Instead of using fixed parameters, the system adjusts parametric components based on detected CCT values, enabling the anti-shading correction to adapt to different illumination types (incandescent, fluorescent, daylight, etc.) while maintaining a unified correction framework.
2Measurement precision
If conventional anti-shading algorithms with limited illumination type dependency are used, then memory requirements are reduced, but correction accuracy under varying illumination conditions deteriorates
Solution Approach 1:
The patent applies universality by creating a unified anti-shading correction framework that handles multiple illumination types through CCT-dependent parametric components. Instead of maintaining separate correction tables for each illumination type (which would consume significant memory), the system uses a single set of parametric components that adapt their behavior based on detected CCT values, serving multiple illumination scenarios with one unified structure.
Solution Approach 2:
The patent uses parameter changes by making parametric components variable based on color correlated temperature. This allows the same parametric component structure to serve multiple illumination types by adjusting its parameters according to CCT, eliminating the need to store separate correction data for each illumination condition while maintaining high accuracy across all conditions.
3Measurement precision
If conventional anti-shading algorithms are used, then ease of operation is maintained, but shading correction accuracy at pixel locations away from the center deteriorates
Solution Approach 1:
The patent applies local quality by using parametric components that are specifically optimized for different regions of the image sensor. The parametric components account for location-dependent shading characteristics, allowing the system to provide tailored correction for central pixels versus remote pixels. This region-specific approach improves correction accuracy at the periphery without requiring completely separate processing paths.
Solution Approach 2:
The patent implements parameter changes by using parametric components that vary based on spatial coordinates and illumination conditions. This allows the correction algorithm to adapt its parameters for different pixel locations, providing locally optimized correction for remote pixels while maintaining a unified computational framework that preserves ease of operation.
Data Source
AI summary
In a method for correcting shading effects in an image sensor including a plurality of pixels, shading effects on at least one readout pixel of the image sensor are modeled based on a parametric component, and the shading effects on the at least one readout pixel are corrected based on the modeled shading effects. The parametric component is dependent on at least one of a color channel corresponding to the readout pixel and a color correlated temperature of light incident on the at least one readout pixel.