Pixel Group Layout for Image Sensors With Higher Dynamic Range
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Solution Overview
Problem
Current image sensors face challenges in achieving clear image quality and high dynamic range due to limitations in pixel arrangement and light sensing capabilities, particularly in effectively capturing and processing color information across different light conditions.
Innovation Solution
The image sensor design incorporates multiple pixel groups arranged in a specific configuration on a substrate, with high-refractive patterns and planarization layers to enhance light reception and processing, allowing for improved color sensing and dynamic range by optimizing the arrangement and functionality of sub-groups and pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pixel arrangements are used, then device complexity is low, but color sensitivity and dynamic range are insufficient
Solution Approach 1:
The pixel array is segmented into multiple pixel groups, where each group contains specific color filter arrangements (e.g., first pixel groups with green and red filters, second pixel groups with green and blue filters). This segmentation allows different regions to specialize in detecting different color combinations, improving overall color sensitivity and dynamic range while maintaining a structured, manageable complexity through systematic repetition of patterns.
2Measurement precision
If conventional light capture methods are used, then device structure is simple, but light sensitivity is insufficient
Solution Approach 1:
The patent combines multiple light capture mechanisms into a unified pixel structure: color filters are integrated directly over pixel regions, micro lenses are positioned to focus light onto pixel groups, and high-refractive patterns are incorporated to enhance light guidance. This merging of functions (filtering, focusing, and refractive enhancement) into a single integrated structure improves light sensitivity without proportionally increasing structural complexity.
3Reliability
If conventional pixel designs are used, then manufacturing is simple, but noise and dark current are not sufficiently reduced
Solution Approach 1:
The patent implements local quality variations through high-refractive patterns positioned at specific locations within pixel groups and micro lenses tailored to specific pixel regions. These localized structural modifications optimize light capture and reduce noise/dark current in critical areas without requiring complex manufacturing processes across the entire sensor, as the enhancements are applied through standard photolithography and deposition techniques in a systematic manner.
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 design enhances image quality and dynamic range by efficiently capturing and processing color information, reducing noise and improving sensitivity, leading to clearer and more detailed images compared to traditional image sensors.
Implementation Method 1
The photodiode may be configured to convert incident light into an electrical signal
Implementation Method 2
first high-refractive patterns disposed on the substrate and respectively overlapping the first pixels
Data Source
AI summary
In some embodiments of the present disclosure, an image sensor includes a first pixel group and a second pixel group disposed in a substrate. The first pixel group includes a first plurality of first sub-groups configured to sense first light of a first color, and a plurality of second sub-groups configured to sense second light of a second color. The second pixel group is arranged adjacent to the first pixel group and includes a second plurality of first sub-groups configured to sense fourth light of the first color, and a plurality of third sub-groups configured to sense third light of a third color. Each of the first plurality of first sub-groups, the second plurality of first sub-groups, the plurality of second sub-groups, and the plurality of third sub-groups including pixels arranged in corresponding N rows and M columns, N and M being positive integers greater than one.