Image Sensor Yellow Filter Units for Sensitivity
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Solution Overview
Problem
Conventional image sensors do not adequately meet the increasing demands for high-quality image signals, particularly in terms of sensitivity and image quality, despite advancements in backside illumination technology.
Innovation Solution
The integration of yellow filter units in image sensors, which allow green and red light components to pass through, replacing traditional red filter units, and arranging yellow, green, and blue filter units to match the human eye's cone spectrum, enhancing sensitivity and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If red filter units are used in conventional image sensors, then the sensor can detect red light components, but the sensitivity and image quality are insufficient to meet high-quality image signal demands
Solution Approach 1:
The patent changes the optical parameters of the filter units by replacing red filters with yellow filters that have different transmission characteristics. The yellow filter units allow both green and red light components to pass through, changing the spectral transmission parameters to improve sensitivity and image quality.
Solution Approach 2:
The patent applies local quality by making different filter units (yellow, green, blue) have different transmission properties tailored to specific wavelength ranges. Each filter unit is optimized for its specific function: yellow filters for green+red transmission, green filters for green transmission, and blue filters for blue transmission, creating localized optical quality improvements.
2Measurement precision
If yellow filter units allowing green and red light components to pass through are used, then sensitivity is improved, but the device structure becomes more complex compared to conventional red filter units
Solution Approach 1:
The patent merges the function of detecting both green and red light components into a single yellow filter unit. Instead of requiring separate filter elements for each wavelength, the yellow filter combines transmission of both green and red light, simplifying the overall structure while maintaining sensitivity improvements.
3Reliability
If filter units matching the human eye's cone spectrum are used, then image quality is improved, but the manufacturing process becomes more difficult
Solution Approach 1:
The patent changes the spectral transmission parameters of the filters to match the human eye's cone spectrum sensitivity. By selecting yellow, green, and blue filter units with specific transmission characteristics that align with human visual perception, the patent improves image quality while using well-established filter fabrication techniques.
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 configuration improves the sensitivity and image quality of image sensors by allowing more light to pass through and aligning with the human visual spectrum, resulting in better image capture capabilities.
Implementation Method 1
a yellow filter unit allowing a green light component and a red light component of the light beam to pass through
Implementation Method 2
a green filter unit allowing the green light component of the light beam to pass through
Implementation Method 3
a blue filter unit allowing a blue light component of the light beam to pass through
Implementation Method 4
a sensing layer for sensing a light beam
Data Source
AI summary
An image sensor includes a sensing layer for sensing a light beam and a number of pixel groups. Each of the pixel groups includes a yellow filter unit allowing a green light component and a red light component of the light beam to pass through, a green filter unit allowing the green light component of the light beam to pass through, and a blue filter unit allowing a blue light component of the light beam to pass through.