Image Sensor Sampler Auto-Zero for Dynamic Range
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Solution Overview
Problem
High dynamic range image sensors face challenges in accurately capturing illuminance variations across bright and dark regions due to reset noise and power consumption issues, particularly in high illuminance conditions.
Innovation Solution
The image sensor employs a sampler that performs auto-zero operations differently for high and low gain sampling operations, reducing reset noise and power consumption by using a ramp signal for comparison signals, with single auto-zero for low illuminance pixels and multi-auto-zero for high illuminance pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed number of bits ADC is used to digitize illuminance values, then the overall dynamic range is improved, but reset noise and power consumption increase in high illuminance conditions
Solution Approach 1:
The patent implements dynamic gain adjustment in the sampling circuit, switching between first gain and second gain modes based on illuminance conditions. The gain control circuit dynamically changes the amplification factor of the pixel signal before ADC conversion, allowing the system to adapt to different lighting conditions and reduce power consumption in high illuminance scenarios while maintaining measurement precision across the full dynamic range.
Solution Approach 2:
The patent changes the gain parameter of the sampling circuit based on detected illuminance levels. When high illuminance is detected, the circuit switches to a lower gain mode (second gain) to reduce the amplification of reset noise and lower power consumption. When low illuminance is detected, the circuit uses a higher gain mode (first gain) to maintain signal strength. This parameter adaptation resolves the contradiction between maintaining precision and reducing power consumption.
2Measurement precision
If auto-zero operation is performed before comparing reset signal and image signal in high gain mode, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent dynamically adjusts the auto-zero operation mode based on illuminance conditions. In low illuminance conditions, the system performs auto-zero operation before comparing both reset signal and image signal in high gain mode to maximize noise removal. In high illuminance conditions, the system performs auto-zero operation only before comparing the reset signal in low gain mode, reducing power consumption while maintaining sufficient measurement precision for bright scenes.
Solution Approach 2:
The patent changes the gain parameter and auto-zero operation configuration based on illuminance levels. For high illuminance pixels, the system uses second gain mode with reduced auto-zero operations (only before reset signal comparison). For low illuminance pixels, the system uses first gain mode with full auto-zero operations (before both reset and image signal comparisons). This conditional parameter adjustment resolves the contradiction between precision and power consumption.
3Use of energy by moving object
If single auto-zero operation is performed, then power consumption is reduced, but reset noise removal effectiveness decreases
Solution Approach 1:
The patent implements a dynamic auto-zero strategy where the number of auto-zero operations performed depends on the illuminance condition detected for each pixel. For high illuminance pixels, only a single auto-zero operation is performed before reset signal comparison, sufficient for noise removal in bright conditions. For low illuminance pixels, multiple auto-zero operations are performed to ensure thorough noise removal. This dynamic approach balances power consumption and noise removal effectiveness.
Solution Approach 2:
The patent changes the operational parameters (gain mode and auto-zero operation count) based on pixel illuminance classification. High illuminance pixels use second gain mode with single auto-zero operation, while low illuminance pixels use first gain mode with multiple auto-zero operations. This parameter adaptation ensures that each pixel receives the appropriate level of noise processing, resolving the contradiction between power consumption and noise removal effectiveness.
4Measurement precision
If high gain sampling is used for low illuminance pixels, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent dynamically selects the gain mode for each pixel based on its illuminance level. Low illuminance pixels are routed through the high gain path (first gain mode) to amplify weak signals and improve detection accuracy. High illuminance pixels are routed through the low gain path (second gain mode) to avoid signal saturation and reduce power consumption. This dynamic routing resolves the contradiction between precision and power consumption for different pixel types.
Solution Approach 2:
The patent applies different gain characteristics to different spatial regions or pixel types within the image sensor. Each pixel can be configured with appropriate gain settings based on its local illuminance conditions, allowing low illuminance pixels to receive high gain amplification while high illuminance pixels use low gain. This localized quality adjustment optimizes both precision and power consumption for each pixel's specific operating conditions.
Data Source
AI summary
An imaging device includes a pixel array with a plurality of pixels each configured to generate a reset signal and an image signal, a sampling circuit including a plurality of samplers connected to column lines, where each sampler generates a first comparison signal by comparing the reset signal with a ramp signal and generates a second comparison signal by comparing the image signal with the ramp signal. An ADC converts each of the first and second comparison signals into a digital signal. Each sampler performs an auto-zero operation for initializing itself before performing the comparing with respect to the reset signal in a first mode, and performs a respective auto-zero operation before performing the comparing for each of the reset signal and the image signal in a second mode.


