Color Filter Spectrum Optimization for Image Sensors
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Solution Overview
Problem
Existing image sensors face challenges in optimizing color filter spectrums and color transformation matrices to achieve accurate color representation and minimize noise amplification.
Innovation Solution
An optimization method is employed by an electronic apparatus to determine differences between filter spectrum information and color spectrum information, smoothness, transmittance, and noise amplification, calculating a cost value to update the filter spectrum information and color transformation matrix accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the color filter spectrum is optimized to improve color accuracy, then color representation improves, but noise amplification increases
Solution Approach 1:
The patent applies parameter changes by optimizing the color filter spectrum parameters (transmittance, smoothness) and color transformation matrix parameters to achieve the best balance between color accuracy and noise amplification. The cost function evaluates multiple parameters simultaneously to find optimal values that satisfy both requirements.
Solution Approach 2:
The patent implements feedback through the cost function evaluation process, where the performance metrics (color accuracy and noise amplification) are continuously monitored and used to iteratively update the color filter spectrum and color transformation matrix until the optimal configuration is achieved.
2Measurement precision
If the color transformation matrix is updated to improve color accuracy, then color representation improves, but computational complexity increases
Solution Approach 1:
The patent applies self-service by implementing an automated optimization process where the system independently evaluates the cost function and updates the color transformation matrix without requiring manual intervention. The iterative optimization algorithm autonomously seeks the optimal solution based on the defined cost criteria.
3Object-generated harmful factors
If the color filter spectrum is adjusted to reduce noise amplification, then noise reduction improves, but color accuracy deteriorates
Solution Approach 1:
The patent applies parameter changes by simultaneously optimizing multiple parameters of the color filter spectrum (transmittance, smoothness) and the color transformation matrix to achieve the best compromise between noise amplification and color accuracy. The cost function evaluates multiple parameters simultaneously to find optimal values that satisfy both requirements.
Data Source
AI summary
An optimization method includes determining first information related to a difference between the color filter spectrum and the color spectrum or a difference between an image transformed by the color transformation matrix and a ground truth (GT) image in the reset color space, determining second information representing smoothness of the color filter spectrum, third information representing a transmittance of the color filter spectrum, calculating a cost value based on the first information, the second information, and the third information, compare the calculated cost value and a threshold, and updating one of the filter spectrum information and the color transformation matrix in response to the calculated cost value being equal to or greater than the threshold.