Imaging Element Pixel Segmentation for Color Accuracy
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Solution Overview
Problem
Existing imaging systems, particularly in devices like smartphones with under-display cameras, face challenges in achieving accurate color reproduction and increased color adjustment flexibility due to limitations in color filter arrangements and the inefficiency of organic photoelectric conversion films.
Innovation Solution
The proposed solution involves an imaging element with a plurality of pixels that acquire both first information of three primary colors (e.g., RGB) and second information of complementary colors (e.g., Cyan, Yellow, Magenta) or additional colors like White or Emerald, allowing for improved color reconstruction and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color filters of three colors (RGB) are used as an imaging element, then the device structure is simple, but the accuracy of image reconstruction is insufficient
Solution Approach 1:
The imaging element is segmented into multiple pixel types within a single pixel unit, where each pixel acquires information for different color channels (R, G, B, Cy, Ye, Mg). This segmentation allows comprehensive color information collection without requiring complex external filtering systems, thereby improving image reconstruction accuracy while maintaining reasonable device complexity
Solution Approach 2:
Each pixel in the imaging element is designed to acquire multiple color information types simultaneously or sequentially. The pixel structure incorporates multiple photodetectors with different spectral responses, enabling a single pixel to function as multiple color sensors, which improves reconstruction accuracy without proportionally increasing overall device complexity
2Adaptability or versatility
If an under display camera (UDC) is used to place camera under display surface, then the device integration is improved, but blue sensitivity is significantly reduced
Solution Approach 1:
The imaging element incorporates pixels with different spectral sensitivities in specific spatial arrangements. Pixels with enhanced blue sensitivity are strategically positioned and designed with specific photodetector characteristics to compensate for the blue light attenuation caused by the display layer, maintaining blue sensitivity measurement precision while preserving the integrated UDC structure
Solution Approach 2:
The patent adjusts the spectral response parameters of the photodetectors by modifying their material composition and structural characteristics. This parameter optimization enables the pixels to maintain high blue sensitivity despite the blue light filtering effect of the display layer, resolving the contradiction between integrated design and sensitivity preservation
3Measurement precision
If organic photoelectric conversion film is used to extract RGB in vertical direction from one pixel, then the pixel structure is formed, but the photoelectric conversion film is inefficient in cost and performance
Solution Approach 1:
Instead of using expensive organic photoelectric conversion films, the patent employs silicon-based photodetectors with different spectral responses that can be manufactured using conventional CMOS processes. This copying approach achieves similar color extraction functionality with more cost-effective and manufacturable materials, improving both manufacturing efficiency and cost while maintaining color extraction accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of image reconstruction, improves color reproducibility, and increases the degree of freedom for color adjustment, while also addressing the inefficiencies and cost issues associated with current organic photoelectric conversion films.
Implementation Method 1
an imaging element includes a plurality of pixels that acquires first information that is information of three primary colors and second information that is information of at least two colors different from the three primary colors
Data Source
AI summary
Color accuracy in an imaging device is improved.An imaging element includes a plurality of pixels that acquires first information that is information of three primary colors and second information that is information of at least two colors different from the three primary colors and that includes at least one of complementary colors of the three primary colors.