Image Sensor Pixel Array Sub-pixel Averaging Signal-to-Noise Ratio

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Solution Overview

Problem

CMOS image sensors face challenges in achieving high signal-to-noise ratios and reducing random noise, which affect the quality of images produced.

Innovation Solution

The implementation of a pixel array with multiple sub-pixels that are simultaneously selected by row control signals, allowing for the averaging of sub-pixel signals to generate an analog pixel signal, which is then converted to a digital signal by an analog-to-digital converter, thereby increasing full well capacity and conversion gain.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a single pixel structure is used, then device complexity is low, but signal-to-noise ratio is insufficient and random noise is high

Engineering Contradiction:
Improvesignal-to-noise ratioVSAvoidpixel structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The pixel is divided into multiple sub-pixels (first sub-pixel and second sub-pixel) that can be independently controlled. Each sub-pixel has its own photoelectric conversion element and transfer transistor, allowing separate signal generation and then combination. This segmentation enables the system to achieve higher signal-to-noise ratio by aggregating signals from multiple independent units while maintaining manageable complexity through modular design.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent combines signals from multiple sub-pixels by transferring charges to a common floating diffusion node. The first and second sub-pixels transfer their generated charges to the same accumulation node, where signals are merged and averaged. This merging process improves signal-to-noise ratio through signal aggregation while the shared readout path keeps the overall device complexity controlled.

Inventive Principle:
Principle #5Merging (Combining)

2Quantity of substance

If multiple sub-pixels are combined, then full well capacity increases, but conversion gain may be reduced

Engineering Contradiction:
Improvefull well capacityVSAvoidconversion gain
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

Each sub-pixel is designed with identical photoelectric conversion elements and transfer transistors, ensuring uniform local characteristics. The floating diffusion node is shared among all sub-pixels, creating a common conversion region with optimized capacitance. This local quality consistency ensures that while full well capacity increases through multi-sub-pixel aggregation, conversion gain is maintained at the shared conversion node through proper capacitance matching.

Inventive Principle:
Principle #3Local quality

3Measurement precision

If sub-pixel signals are averaged, then random noise is reduced, but device complexity increases

Engineering Contradiction:
Improverandom noise reductionVSAvoidsignal processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The floating diffusion node automatically performs signal averaging through its inherent capacitance properties. When multiple sub-pixels transfer their charges to the shared floating diffusion node, the node naturally integrates and averages the signals based on capacitance division. This self-service averaging mechanism reduces random noise through statistical accumulation without requiring complex external signal processing circuits, thereby minimizing additional device complexity.

Inventive Principle:
Principle #25Self-service

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 the signal-to-noise ratio and reduces random noise, resulting in improved image quality by increasing both full well capacity and conversion gain simultaneously.

Implementation Method 1

Each of the first and second sub-pixels includes a photodiode and a transfer transistor. The first photodiode and the second photodiode are different from each other in a type of the photodiode.

Methodology Applied
Scientific EffectPhotoelectric conversion: Photoelectric Effect

Data Source

PatentUS10154214B2Image sensor having improved signal-to-noise ratio and reduced random noise and image processing system
Publication Date: 2018.12.11 SAMSUNG ELECTRONICS CO LTD
  • US10154214B2 patent drawing
  • US10154214B2 patent drawing
  • US10154214B2 patent drawing

AI summary

An image sensor having improved signal-to-noise ratio and reduced random noise and an image processing system are provided. The image sensor includes a pixel array including a pixel connected to a column line and configured to provide an analog pixel signal to the column line in response to at least one row control signal, and an analog-to-digital converter (ADC) that receives and converts the analog pixel signal into a corresponding digital pixel signal. The pixel includes a group of sub-pixels simultaneously selected by the at least one row control signal, such that each one of the sub-pixels in the group of sub-pixels provides a sub-pixel signal, and the analog pixel signal is an average of the sub-pixel signals provided by the group of sub-pixels.