Cross-Talk Sensing Pixel Layout for High-Resolution Image Sensors
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Solution Overview
Problem
As image sensing devices increase in resolution and pixel miniaturization, cross-talk between pixels becomes a significant issue that existing technologies have not effectively addressed.
Innovation Solution
The implementation of a cross-talk sensing pixel group within the image sensing device, comprising specific combinations of color filters such as green, yellow, red, blue, and cyan, arranged in a matrix form to sense and correct cross-talk, includes a first green sensing pixel, a red sensing pixel, a blue sensing pixel, and a second green sensing pixel, along with half-sensing pixels to accurately measure and mitigate cross-talk effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If pixels are miniaturized to increase resolution, then the resolution of the image sensing device is improved, but cross-talk between pixels increases
Solution Approach 1:
The pixel array is divided into multiple unit pixel blocks, with each block containing a specific arrangement of imaging pixels and cross-talk sensing pixels. This segmentation allows cross-talk to be measured and corrected locally within each block, effectively managing the cross-talk issue while maintaining high resolution through miniaturization.
Solution Approach 2:
Dedicated cross-talk sensing pixels with specific color filter combinations (yellow and cyan filters) are introduced as intermediary elements. These sensing pixels detect the cross-talk signals between adjacent imaging pixels, enabling the system to measure and correct cross-talk effects without compromising the primary imaging function.
2Measurement precision
If cross-talk sensing pixels with multiple color filters are added, then cross-talk measurement capability is improved, but device complexity increases
Solution Approach 1:
Multiple color filters (green, yellow, red, blue, cyan) are integrated within the cross-talk sensing pixel group structure. By merging these filters into a compact arrangement where they share common optical paths and sensing regions, the design achieves enhanced cross-talk measurement capability while minimizing the increase in device complexity.
Solution Approach 2:
The cross-talk sensing pixel group serves multiple functions: it detects cross-talk between different color channels, provides reference signals for correction algorithms, and maintains compatibility with the existing imaging pixel structure. This multi-functionality reduces the need for separate dedicated components, thereby limiting the increase in device complexity.
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 solution effectively corrects cross-talk in image sensing devices by utilizing a cross-talk sensing pixel group with specific color filter arrangements, improving image quality by accurately measuring and mitigating cross-talk, thereby enhancing the resolution and accuracy of captured images.
Implementation Method 1
The color filters include imaging color filters selectively including one of a green color, a red color, and a blue color; and cross-talk sensing color filters selectively including one of a yellow color and a cyan color
Data Source
AI summary
An image sensing device includes a pixel array including a plurality of unit pixel blocks arranged in a matrix form. Each of the unit pixel blocks includes a plurality of imaging pixel groups and a cross-talk sensing pixel group. The cross-talk sensing pixel group includes a first green sensing pixel including a first green color filter and a first yellow color filter; a red sensing pixel including a second yellow color filter and a red color filter; a blue sensing pixel including a blue color filter and a first cyan color filter; and a second green sensing pixel including a second cyan color filter and a second green color filter.