Image Sensor Pixel Segmentation for Resolution and Sensitivity
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Solution Overview
Problem
High-resolution image capture is hindered by reduced light sensitivity due to smaller pixel sizes, and stacked image sensors face challenges in accurately differentiating red, green, and blue signals, leading to degraded color reproduction characteristics.
Innovation Solution
An apparatus and method that apply different color filters to two pixel regions without IR blocking filters, allowing for the reception and use of optical signals in the visible band and IR signals to improve image capture by extracting detailed signals in respective wavelength bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the unit area of each pixel is decreased to increase the number of pixels in the sensing region, then the resolution of images is improved, but the amount of light reaching respective pixels is reduced, making high-sensitivity images hard to obtain
Solution Approach 1:
The pixel array is divided into two distinct types: first pixels with color filters for high-resolution color imaging, and second pixels without color filters (with IR blocking filters removed) for high-sensitivity luminance and IR signal capture. This segmentation allows each pixel type to be optimized for its specific function, resolving the contradiction between resolution and sensitivity.
Solution Approach 2:
Different regions of the pixel array are assigned different functional characteristics. First pixels are configured with color filters for precise color detection, while second pixels are configured without color filters for maximum light sensitivity. This local differentiation allows the system to achieve both high resolution and high sensitivity in different locations.
2Measurement precision
If stacked image sensors are used to extract all major visible light signals (R, G, B signals) from a single pixel region, then the resolution of images is improved, but the color reproduction characteristics are degraded because it is difficult to accurately differentiate R, G, B signals from the silicon layer
Solution Approach 1:
The pixel array is segmented into first pixels equipped with color filters for accurate color separation and second pixels without color filters for high-sensitivity detection. This segmentation eliminates the need for stacked sensors to differentiate R, G, B signals from the silicon layer, as first pixels use traditional color filter arrays for reliable color reproduction while second pixels provide complementary luminance information.
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 resolution and color reproduction performance by reducing interference between signals and enabling the use of IR signals, thereby improving image quality and sensitivity.
Implementation Method 1
a filter unit (120) having a plurality of filters (121, 122) having different wavelength bands
Implementation Method 2
a sensor unit (130) for sensing optical signals (610, 710, 720, 910, 920, 1110, 1120, 1130) having passed through the filters (121, 122)
Data Source
AI summary
Provided are an apparatus and a method for capturing images by applying different color filters to two pixel regions with IR blocking filters removed so that optical signals in the visible band and IR signals can be received. The apparatus includes a filter unit having a plurality of filters having different wavelength bands; a sensor unit sensing optical signals passing through the filters; and a signal-extraction unit extracting detailed optical signals in respective wavelength bands by using the difference between the sensed optical signals.