Image Sensor Conditional Read-Out for Low-Light Sensitivity
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Solution Overview
Problem
Existing image sensors face challenges in achieving high sensitivity and efficient read-out operations, particularly in low-light conditions, due to limitations in pixel design and read-out strategies that disrupt charge integration and lead to noise and artifacts.
Innovation Solution
The implementation of a modified 4-transistor pixel architecture with a non-destructive overthreshold detection method, allowing for conditional read-out and reset operations, combined with quad-pixel blocks and shared floating diffusion nodes, enables enhanced low-light sensitivity and efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional read-out operations are performed on all pixels, then complete image data is obtained, but power consumption increases and low-light sensitivity decreases due to unnecessary read-out operations
Solution Approach 1:
The patent implements conditional read-out operations where only pixels exceeding a threshold are fully read out, while other pixels undergo partial read-out or are skipped entirely. This partial action approach reduces power consumption by avoiding unnecessary read-out operations on pixels that do not contribute meaningful signal, while still capturing sufficient information for low-light imaging through statistical processing of the subset of read pixels.
Solution Approach 2:
The patent segments the pixel array into groups that share read-out circuitry, enabling selective activation of read-out paths based on scene requirements. By organizing pixels into blocks with shared floating diffusion nodes and read-out circuits, the system can activate only the necessary segments for current imaging conditions, reducing overall power consumption while maintaining sensitivity for pixels that require full read-out.
2Use of energy by moving object
If conditional read-out operations are implemented, then power consumption is reduced, but spatial resolution may be compromised due to selective pixel sampling
Solution Approach 1:
The patent merges adjacent pixels into blocks that share floating diffusion nodes and read-out circuitry. By combining signals from multiple pixels within each block and applying statistical processing, the system recovers spatial resolution information even when not all individual pixels are fully read out. The merging approach allows the system to maintain effective spatial resolution through signal integration while reducing the number of active read-out paths, thereby lowering power consumption.
Solution Approach 2:
The patent dynamically changes operational parameters including read-out threshold levels, pixel sampling density, and block activation patterns based on scene characteristics. By adjusting these parameters in real-time, the system optimizes the balance between power consumption and spatial resolution preservation, adapting the degree of pixel sampling to match scene complexity and lighting conditions.
3Loss of information
If all pixels are read out in every frame, then complete image information is captured, but read-out time increases and frame rate decreases
Solution Approach 1:
The patent implements partial read-out operations where only a subset of pixels are fully processed in each frame based on threshold criteria. By performing partial read-out on pixels that meet significance thresholds and using statistical reconstruction for other pixels, the system maintains image information completeness for critical regions while significantly reducing overall read-out time, thereby increasing frame rate without substantial loss of image information.
Solution Approach 2:
The patent employs periodic full read-out operations interleaved with partial read-out frames. Rather than reading all pixels every frame, the system periodically performs complete read-outs to update reference information while using partial read-outs for intermediate frames. This periodic action pattern maintains image information completeness over time while achieving higher average frame rates through reduced read-out operations during non-periodic frames.
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 preserves spatial resolution while improving low-light sensitivity, reducing noise, and optimizing power consumption by allowing conditional read-out and reset operations, thereby enhancing imaging performance across varying light conditions.
Implementation Method 1
Each element of the array comprises a photodetector
Data Source
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AI summary
A pixel array within an integrated-circuit image sensor is exposed to light representative of a scene during a first frame interval and then oversampled a first number of times within the first frame interval to generate a corresponding first number of frames of image data from which a first output image may be constructed. One or more of the first number of frames of image data are evaluated to determine whether a range of luminances in the scene warrants adjustment of an oversampling factor from the first number to a second number, if so, the oversampling factor is adjusted such that the pixel array is oversampled the second number of times within a second frame interval to generate a corresponding second number of frames of image data from which a second output image may be constructed.