Cyan Pixel Array Layout for Miniaturized Image Sensors
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Solution Overview
Problem
Miniaturized image sensing devices face challenges in achieving good contrast due to reduced light reception and increased diffraction effects, particularly with red light, which degrades image quality and signal-to-noise ratio.
Innovation Solution
Incorporating a pixel array with cyan pixels instead of white pixels, where cyan pixels sense cyan light by removing red light components that cause signal degradation, and using an image signal processor to interpolate RGB image data, thereby improving contrast and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If pixel size is reduced for miniaturization, then device size and power consumption are reduced, but light reception is reduced and diffraction effects increase
Solution Approach 1:
The pixel array is segmented into different pixel types (first pixels with first color filters and second pixels with second color filters) with different spectral response characteristics. This segmentation allows the system to capture light across different wavelength ranges, improving overall light reception efficiency and reducing diffraction effects in miniaturized pixels while maintaining device compactness.
2Volume of moving object
If pixel size is reduced for miniaturization, then device size is reduced, but signal-to-noise ratio deteriorates
Solution Approach 1:
The pixel array is divided into multiple pixel groups, each containing both first pixels and second pixels. This segmentation creates redundant sampling paths with different spectral responses, improving the signal-to-noise ratio through diverse light reception channels even in miniaturized pixels.
Solution Approach 2:
The system changes the spectral response parameters of pixels by using different color filters (first color filters and second color filters) with different transmission characteristics. This parameter diversification allows the miniaturized pixels to maintain high signal-to-noise ratio by capturing light across different spectral bands.
3Ease of manufacture
If conventional color filter arrangement is used, then manufacturing is simple, but image texture accuracy is reduced due to diffraction
Solution Approach 1:
The pixel array is segmented into first pixels and second pixels with different color filter arrangements. This segmentation enables the system to capture light that would otherwise be lost to diffraction effects, improving image texture accuracy while maintaining compatibility with conventional manufacturing processes.
Solution Approach 2:
Different regions of the pixel array use different color filter types (first color filters and second color filters) with optimized spectral characteristics for local light reception conditions. This local quality optimization improves image texture accuracy by adapting to diffraction effects at different spatial locations.
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 image texture accuracy and contrast by minimizing diffraction and maintaining a high signal-to-noise ratio, even in miniaturized pixel arrays, by effectively handling light reception and interpolation.
Implementation Method 1
Miniaturized image sensing devices face challenges in achieving good contrast due to reduced light reception and increased diffraction effects
Implementation Method 2
An image sensing device is a device for capturing optical images by converting light into electrical signals using a photosensitive semiconductor material which reacts to light
Data Source
AI summary
An image sensing device is provided to comprise first to fourth pixel groups arranged in a (2×2) matrix including two rows and two columns, wherein each of the first to fourth pixel groups includes 1) at least one of a red pixel including a red color filter configured to transmit light corresponding to a red color, a green pixel including a green color filter configured to transmit light corresponding to a green color, or a blue pixel including a blue color filter configured to transmit light corresponding to a blue color, and 2) at least one cyan pixel including a cyan color filter configured to transmit light corresponding to the green color and the blue color.