Image Sensor Power Stability Detection via Noise Distribution Analysis
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Solution Overview
Problem
The stability of the power supply to image sensors affects the quality of captured images, leading to irregular noise, which existing methods fail to address efficiently.
Innovation Solution
A method and device for detecting power stability in image sensors by providing power through a power supply circuit, capturing test images, analyzing noise distribution, and generating evaluation information to improve power stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power supply stability is improved to reduce noise in captured images, then image quality is improved, but power supply circuit complexity increases
Solution Approach 1:
The power supply circuit is divided into multiple independent power supply units, each capable of providing power to the image sensor separately. This segmentation allows for independent optimization and testing of each unit's stability characteristics, reducing overall system complexity while maintaining reliable power delivery.
Solution Approach 2:
The system dynamically adjusts power supply parameters such as voltage and current based on the image sensor's operational requirements. By changing power parameters adaptively rather than maintaining fixed high-stability power delivery, the system achieves necessary image quality while reducing unnecessary circuit complexity.
2Measurement precision
If manual detection methods are used to assess power stability effects on images, then detection accuracy is maintained, but detection efficiency decreases
Solution Approach 1:
The manual detection process is replaced with an automated computational system that uses image processing algorithms to analyze noise characteristics. This substitution eliminates manual intervention while maintaining detection accuracy through systematic analysis of image data captured under different power supply conditions.
Solution Approach 2:
The system automatically captures test images, analyzes noise distribution, and generates evaluation information without requiring external manual intervention. The image sensor and processing system work together to self-assess power stability effects, significantly improving detection efficiency while maintaining precision.
3Measurement precision
If multiple test images are captured and analyzed to assess power stability, then detection accuracy is improved, but detection time increases
Solution Approach 1:
The system performs preliminary noise characterization by capturing a set of test images under controlled conditions before conducting the actual power stability assessment. This preliminary action establishes baseline noise patterns that can be quickly compared during evaluation, reducing the time required for detailed analysis while maintaining accuracy.
Solution Approach 2:
The system captures more test images than the minimum required for statistical significance, then uses efficient algorithms to analyze only the most relevant features. This excessive action in data collection, combined with selective analysis, ensures high detection accuracy while managing overall detection time through intelligent processing.
Data Source
AI summary
A method and a device for detecting power stability of an image sensor are provided. The method includes: providing first power by a power supply circuit to the image sensor based on a first electronic configuration; during a period that the image sensor is driven by the first power, capturing at least one first test image by the image sensor; analyzing image content of the first test image to obtain first noise distribution information of the first test image; and generating a first evaluation information corresponding to the first electronic configuration according to the first noise distribution information.