Night-Vision Camera Exposure Adjustment via Infrared Reflectivity
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Solution Overview
Problem
Night-vision cameras face issues with image blur and noise due to fixed exposure parameters, leading to overexposure or underexposure when objects are at varying distances from the camera.
Innovation Solution
An exposure adjustment method for night-vision cameras that dynamically adjusts the light measuring weight of image blocks by comparing the light reflectivity of images taken before and after adjusting the infrared light source intensity, allowing for precise determination of object distances and recalculating exposure parameters to prevent abnormal exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed exposure parameter is used for night-vision shooting, then the camera can maintain simple operation and consistent processing, but the image quality deteriorates when objects are at varying distances due to overexposure or underexposure
Solution Approach 1:
The patent applies dynamics by transitioning from fixed exposure parameters to dynamic exposure adjustment. The system continuously adjusts exposure parameters based on real-time detection of object distance and light reflectivity, allowing the camera to adapt to varying shooting conditions while maintaining image quality across different distances
Solution Approach 2:
The patent changes physical parameters by adjusting exposure parameters (shutter speed, aperture, gain) based on detected object distance and light reflectivity. The system modifies these parameters dynamically to optimize image quality for different shooting scenarios, preventing overexposure or underexposure
2Productivity
If a fixed light measuring manner is used, then the camera processing remains simple and fast, but the image becomes blurred when objects are close or far due to inappropriate exposure time
Solution Approach 1:
The patent applies preliminary action by performing light reflectivity measurement and object distance detection before finalizing the exposure parameters. The system measures light reflectivity in advance and uses this information to pre-adjust exposure parameters, ensuring optimal image quality before the actual shooting occurs
Solution Approach 2:
The patent implements feedback by continuously monitoring light reflectivity and object distance, then using this information to adjust exposure parameters in real-time. The system creates a closed-loop control mechanism where measurement results feed back into the exposure adjustment process, ensuring continuous optimization of image quality
3Illumination intensity
If the exposure time is extended to capture more light, then the image brightness improves, but noise and blur increase when objects are at varying distances
Solution Approach 1:
The patent applies local quality by adjusting exposure parameters specifically for different regions of the image based on object distance and light reflectivity. Instead of using a uniform exposure setting for the entire image, the system optimizes exposure locally for each detected object, maintaining image brightness while minimizing noise and blur in different spatial regions
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 method effectively prevents image blur and noise by ensuring neither overexposure nor underexposure, maintaining image quality across varying object distances by dynamically adjusting exposure parameters based on real-time light reflectivity changes.
Implementation Method 1
a night-vision camera may emit infrared light (IR light) invisible to human eyes, so as to irradiate an object to be shot. The IR light is reflected by the object, and enters a lens to be imaged
Data Source
AI summary
An exposure adjustment method for night-vision camera includes the following steps. A first image and a second image are shot with an infrared light source of different intensity; the shot first image and second image are divided into a plurality of image blocks, in which positions of the image blocks in the first image are respectively corresponding to those in the second image; a light reflectivity of the image blocks of the first image is compared with a light reflectivity of the image blocks of the second image, and object distances of image objects are determined; the image object having greater object distance obtains a lower light measuring weight, and the image object having smaller object distance obtains a higher light measuring weight; and an exposure parameter of image images is adjusted according to the image weights of the two images and light measuring weights of the blocks.