Image Processing System Selective Storage for Visibility
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Solution Overview
Problem
Existing monitoring camera systems struggle to efficiently improve image quality in poor visibility conditions, such as at night or in foggy or hazy environments, and lack effective mechanisms for storing and reprocessing images.
Innovation Solution
An information processing system that includes an image capture apparatus, a storage device, and an image processing apparatus. The system determines whether image quality improvement processing is needed and stores or avoids storing the captured images accordingly, allowing for later reprocessing of images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image quality improvement processing is executed on all captured images, then image quality in poor visibility conditions is improved, but storage capacity requirements increase
Solution Approach 1:
The system applies image quality improvement processing selectively only to images captured under poor visibility conditions (night, fog, haze) rather than all images. The determination unit analyzes visibility conditions and triggers processing only when necessary, ensuring high image quality where needed while avoiding unnecessary processing and storage for images captured in good conditions.
Solution Approach 2:
The system changes the state of image processing based on environmental parameters. When visibility parameters indicate poor conditions (low light, fog, haze), the system activates image quality improvement processing and stores the processed high-quality images. When visibility is good, the system skips processing and stores only original images, thus optimizing storage capacity.
2Adaptability or versatility
If captured images are stored for later reprocessing, then flexibility in image quality improvement is improved, but storage capacity requirements increase
Solution Approach 1:
The system performs preliminary classification of captured images based on visibility conditions before final storage decisions. Images captured under poor visibility conditions are identified and flagged for potential image quality improvement processing, while images from good conditions are marked for direct storage without processing. This preliminary action enables flexible reprocessing only when needed.
Solution Approach 2:
The system extracts and separates images requiring quality improvement from those that don't need processing. By using the determination unit to identify images captured under poor visibility conditions, the system extracts only the necessary subset of images for quality improvement processing and storage, leaving other images to be stored in their original form.
3Manufacturing precision
If image quality improvement processing is executed in real-time, then image quality is improved, but processing time and system complexity increase
Solution Approach 1:
The system uses periodic determination of visibility conditions to decide whether to execute image quality improvement processing. The determination unit continuously monitors environmental conditions and triggers processing only during periods when poor visibility is detected, rather than continuously processing all images in real-time. This periodic approach reduces overall processing time while maintaining image quality where necessary.
Data Source
AI summary
An information processing system includes an image processing apparatus that executes image processing to improve an image quality of an image captured by an image capture apparatus, and a first storage device that stores the captured image, where the image processing apparatus determines whether the image processing is to be executed, and the first storage device stores the captured image when it is determined that the image processing is to be executed, and the first storage device avoids storing the captured image when it is determined that the image processing is not to be executed.