Adaptive Image Sensor for High Dynamic Range Detection
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Solution Overview
Problem
Existing image detection devices face challenges in obtaining a good composite image due to variations in object types and in-plane luminance distribution, as well as sensor photosensitivity and light source variations, which can lead to inappropriate reference values and suboptimal image combination.
Innovation Solution
A detection device comprising a light source and an optical sensor with photodiodes that capture a low-sensitivity first image and a high-sensitivity second image, selecting pixel data based on predetermined thresholds to generate a composite image, ensuring optimal image quality by reducing noise and saturation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a uniquely set reference value is used for combining image information, then the image combination process is simplified, but the image quality deteriorates due to variations in object types, luminance distribution, and sensor photosensitivity
Solution Approach 1:
The patent applies dynamics by making the reference value adaptive rather than fixed. The reference value is dynamically adjusted based on the actual luminance distribution characteristics of each captured image, allowing the image combination process to adapt to variations in object types, illumination conditions, and sensor responses, thereby maintaining high image quality without increasing process complexity
Solution Approach 2:
The patent changes the parameter of reference value from a static predetermined value to a dynamic value that varies according to image-specific luminance characteristics. By calculating the luminance distribution of each image and adjusting the reference value accordingly, the system optimizes image combination quality for different objects and conditions
2Measurement precision
If high-sensitivity imaging is used, then detection accuracy is improved, but detection intensity saturation occurs in bright areas
Solution Approach 1:
The patent uses dynamics by adaptively adjusting the accumulation time based on the luminance distribution characteristics of each image. For images with high luminance in certain areas, the accumulation time is reduced to prevent saturation, while for darker areas, the full accumulation time is used to maintain detection accuracy, thus dynamically optimizing the detection process
Solution Approach 2:
The patent applies partial action by using different accumulation times for different regions or images. Instead of using a uniform accumulation time that would cause saturation in bright areas, the system uses reduced accumulation time only where necessary (in bright areas) while maintaining full accumulation time in other areas, achieving optimal detection without saturation
3Reliability
If low-sensitivity imaging is used, then detection intensity saturation is avoided, but noise increases and gradation expression deteriorates
Solution Approach 1:
The patent applies dynamics by switching between different accumulation times based on luminance conditions. Rather than using a fixed low accumulation time that would prevent saturation but increase noise, the system dynamically selects appropriate accumulation times - using longer times for darker areas to maintain gradation expression and shorter times only for bright areas to avoid saturation
Solution Approach 2:
The patent changes the accumulation time parameter based on luminance distribution analysis. By calculating the luminance characteristics of each image and adjusting the accumulation time accordingly, the system optimizes the balance between avoiding saturation and maintaining gradation expression, using longer accumulation times where noise is less of a concern and shorter times where saturation would occur
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
The solution effectively generates a composite image with improved gradation expression and reduced noise, while restraining detection intensity saturation, resulting in enhanced image quality and accuracy.
Implementation Method 1
an optical sensor including a plurality of photodiodes that output pixel data corresponding to a light intensity irradiating the photodiodes
Data Source
AI summary
A detection device includes a light source, and an optical sensor comprising a plurality of photodiodes configured to output pixel data corresponding to a light intensity irradiating the photodiodes. The optical sensor is configured to capture a first image containing a plurality of pieces of first pixel data and a second image that contains a plurality of pieces of second pixel data and is more sensitive than the first image, the second pixel data having a gradation equal to or smaller than a predetermined threshold is selected in the second image, the first pixel data in an area corresponding to a deselected second pixel data is selected in the first image, and a composite image is generated based on the selected second pixel data and the selected first pixel data.