Adaptive Single-Slope ADC for Low-Noise Image Sensor Readout
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image sensor technologies face challenges with temporal random noise, particularly in readout noise and quantization noise, which affect image quality and are often associated with low frame rates or increased hardware costs.
Innovation Solution
The implementation of a conditional correlated multiple sampling (CCMS) single slope (SS) analog-to-digital converter (ADC) that adapts the conversion process based on pixel signal levels, using a first and second voltage ramp, allowing for reduced noise and efficient data acquisition by converting bright pixels once and dark pixels multiple times, thereby mitigating temporal noise without extending operation time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ADC methods are used to reduce quantization noise, then measurement precision is improved, but conversion time increases and productivity decreases
Solution Approach 1:
The patent applies dynamics by making the ADC conversion process adaptive rather than static. The system dynamically adjusts the conversion method based on pixel brightness: bright pixels undergo single-slope ADC conversion while dark pixels undergo correlated double sampling (CDS) conversion. This dynamic adaptation resolves the contradiction by optimizing conversion time for each pixel type individually, achieving high frame rates without sacrificing quantization noise reduction where needed.
Solution Approach 2:
The patent implements local quality by applying different conversion strategies to different regions of the image data. Instead of using a uniform conversion method for all pixels, the system applies single-slope ADC to bright pixels and CDS to dark pixels. This localized approach allows the system to achieve high productivity for bright pixels while maintaining measurement precision for dark pixels, thereby resolving the contradiction between frame rate and quantization noise reduction.
2Reliability
If correlated double sampling is applied to all pixels, then temporal random noise is reduced, but conversion time increases and frame rate decreases
Solution Approach 1:
The patent applies local quality by selectively applying correlated double sampling only to dark pixels where temporal random noise reduction is most beneficial, while using faster single-slope ADC for bright pixels. This localized application resolves the contradiction by achieving noise reduction where needed without unnecessarily extending conversion time for all pixels, thereby maintaining high frame rates.
Solution Approach 2:
The patent implements partial action by applying correlated double sampling only partially - specifically to dark pixels below a certain threshold - rather than to all pixels. This partial application achieves the necessary temporal random noise reduction for the most affected pixels while avoiding the frame rate penalty that would result from applying CDS to every pixel in the image.
3Measurement precision
If higher resolution ADC is used, then measurement precision is improved, but device complexity and hardware cost increase
Solution Approach 1:
The patent applies parameter changes by dynamically switching between two different conversion approaches (single-slope ADC and correlated double sampling) based on the input signal characteristics. Instead of using a single high-resolution ADC for all conditions, the system changes the conversion parameter (method) adaptively. This resolves the contradiction by achieving effective high precision for dark pixels through CDS while using simpler single-slope ADC for bright pixels, thereby reducing overall hardware complexity and cost.
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 results in reduced quantization noise and improved performance, with a 10-bit SS ADC achieving comparable results to a conventional 12-bit ADC while reducing conversion time, and performing better at low signal levels by effectively managing readout noise.
Implementation Method 1
a comparator, arranged to compare the analog input pixel with a ramp signal and generate a comparison result
Implementation Method 2
compare the analog input pixel with a first voltage ramp for a first number of times and compare the analog input pixel with a second voltage ramp for a second number of times
Data Source
AI summary
A conditional correlated multiple sampling (CCMS) single slope (SS) analog-to-digital converter (ADC) is provided. The CCMS SS ADC includes a comparator, arranged to compare an analog signal with a ramp signal and generate a comparison result; and a CCMS control circuit, arranged to determine a swing of the ramp signal according to a magnitude of the analog signal. An image sensor system using the CCMS SS ADC and a method of CCMS SS analog-to-digital conversion are also disclosed.


