Color Sensing Channels Using Virtual Spectral Segmentation
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Solution Overview
Problem
Current color sensing devices face challenges in increasing color resolution without significantly increasing manufacturing costs and decreasing yield due to the need for more color sensing channels, which leads to increased photolithography and chemical exposure.
Innovation Solution
A color sensing device with a plurality of light sensing elements and a processing circuit that establishes derivative and virtual channels based on native channel peaks and intersection points, using a color conversion model to generate color coordinates, thereby increasing spectral channels without additional hardware or production time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of color sensing channels is increased to obtain more color information, then color resolution is improved, but manufacturing cost increases
Solution Approach 1:
The patent segments the spectral response regions by identifying peaks and intersection points of adjacent native channels, then creates derivative channels and virtual channels from these segments. This allows the system to extract multiple spectral channels from a limited number of physical sensing elements, increasing color resolution without proportionally increasing hardware complexity or manufacturing cost.
Solution Approach 2:
The patent transitions from a one-to-one mapping of physical channels to spectral channels by introducing mathematical operations (differentiation and interpolation) that create additional dimensional information. The processing circuit generates derivative channels from peaks and virtual channels from intersection points, effectively adding spectral dimensions without adding physical sensing elements.
2Measurement precision
If the number of color sensing channels is increased to obtain more color information, then color resolution is improved, but the number of photolithography and photoresist removal operations increases
Solution Approach 1:
The patent segments the spectral response regions by identifying peaks and intersection points of adjacent native channels, then creates derivative channels and virtual channels from these segments. This allows the system to extract multiple spectral channels from a limited number of physical sensing elements, increasing color resolution without proportionally increasing hardware complexity or manufacturing cost.
Solution Approach 2:
The patent creates virtual channels that are mathematical copies or transformations of the native channel responses. By interpolating and differentiating the responses from existing physical channels, the system generates additional spectral channels without physically manufacturing them, thereby avoiding additional photolithography and photoresist removal operations.
3Measurement precision
If the number of color sensing channels is increased to obtain more color information, then color resolution is improved, but the yield of the color sensing device decreases
Solution Approach 1:
The patent segments the spectral response regions by identifying peaks and intersection points of adjacent native channels, then creates derivative channels and virtual channels from these segments. This allows the system to extract multiple spectral channels from a limited number of physical sensing elements, increasing color resolution without proportionally increasing hardware complexity or manufacturing cost.
Solution Approach 2:
The patent creates virtual channels that are mathematical copies or transformations of the native channel responses. By interpolating and differentiating the responses from existing physical channels, the system generates additional spectral channels without physically manufacturing them, thereby avoiding additional photolithography and photoresist removal operations that would reduce yield.
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
The solution achieves higher resolution, sensitivity, and accuracy with improved yield by effectively utilizing existing hardware to enhance color sensing capabilities.
Implementation Method 1
The light sensing elements are configured to detect a testing light source and generate a plurality of initial responses
Data Source
AI summary
A color sensing device and an optimization method thereof are provided. The light sensing elements have distinct native channels respectively, each native channel has a peak, and any two of the native channels that are adjacent partially overlap with each other and generate an intersection point, each native channel corresponds to the one intersection point or the two intersection points to define a central area and one or two edge areas. The light sensing elements detect a testing light source and generate initial responses. The processing circuit establishes derived channels based on the peaks and virtual channels based on the intersection points. The processing circuit converts the initial responses into derived responses and virtual responses. The color conversion model generates a color coordinate of the testing light source based on the derived responses and the virtual responses.