Floating Diffusion Capacity Modulation for Motion Distortion in CMOS Sensors

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Solution Overview

Problem

Existing CMOS image sensors face challenges in achieving high image quality with wide dynamic range due to notion distortion and quality degradation in moving images, particularly when capturing low and high illuminance scenes at different times.

Innovation Solution

A solid-state imaging device with a pixel structure that includes a photo-electric conversion element, a transfer element, a floating diffusion, a source-follower element, and a capacity changing portion, which allows the capacity of the floating diffusion to be adjusted during a readout period, enabling switching between high and low conversion gains to accommodate varying light conditions without motion distortion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If imaging by low illuminance and high illuminance are carried out at different times using multiple exposure times, then dynamic range is widened, but notion distortion occurs and moving image quality is degraded

Engineering Contradiction:
Improvedynamic rangeVSAvoidmoving image quality
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The floating diffusion capacity is dynamically changed during the readout period by the capacity changing portion in response to a capacity changing signal. This allows the conversion gain to be switched between high and low states within a single readout period, enabling the system to adapt to different illuminance conditions without requiring multiple sequential exposures, thereby preventing motion distortion while maintaining wide dynamic range coverage

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The capacity of the floating diffusion is changed as a parameter during the readout period. By varying the floating diffusion capacity in response to illuminance conditions, the conversion gain is adjusted dynamically - high conversion gain for low illuminance and low conversion gain for high illuminance - all within a single exposure period, thus avoiding the temporal separation issue that causes motion distortion

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If the capacity of the floating diffusion is changed during the readout period, then conversion gain can be switched to accommodate varying light conditions, but device complexity increases

Engineering Contradiction:
Improveconversion gain switching capabilityVSAvoidpixel structure complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The floating diffusion node serves multiple functions: it acts as the charge accumulation node during the accumulation period, the charge-to-voltage conversion node during the readout period, and simultaneously serves as the node whose capacity is modulated by the capacity changing portion. This multi-functionality allows the system to achieve variable conversion gain without adding separate dedicated structures for each function, thereby limiting the increase in device complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

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 effectively suppresses motion distortion while widening the dynamic range, resulting in higher image quality by allowing both bright and dark signals to be output in a single readout period, thereby enhancing the sensor's ability to handle varying light conditions.

Implementation Method 1

each pixel includes a photo-electric conversion element which accumulates a charge generated by photo-electric conversion in an accumulation period

Methodology Applied
Scientific EffectPhoto-electric conversion: Photoelectric Effect

Implementation Method 2

a source-follower element which converts the charge of the floating diffusion to a voltage signal in accordance with the charge quantity

Methodology Applied
Scientific EffectCharge to voltage conversion: Capacitance

Data Source

PatentUS9992417B2Solid-state imaging device, method for driving solid-state imaging device, and electronic apparatus
Publication Date: 2018.06.05 BRILLNICS JAPAN
  • US9992417B2 patent drawing
  • US9992417B2 patent drawing
  • US9992417B2 patent drawing

AI summary

A solid-state imaging device, a method for driving the solid-state imaging device, and an electronic apparatus capable of suppressing occurrence of motion distortion while realizing widening of dynamic range and in turn realizing a higher image quality are provided. Each pixel includes a photo diode PD which accumulates a charge generated by photo-electric conversion in an accumulation period, a transfer transistor capable of transferring the accumulated charge in a transfer period, a floating diffusion FD to which the charge accumulated in the photo diode PD is transferred, a source-follower transistor which converts the charge of the floating diffusion FD to a voltage signal in accordance with the charge quantity, and a capacity changing portion capable of changing the capacity of the floating diffusion FD in accordance with a capacity changing signal, the capacity of the floating diffusion FD being changed by the capacity changing portion in a predetermined period in one readout period with respect to the accumulation period and a conversion gain being switched in this one readout period.