Dynamic Sampling Time Adjustment for Image Quality
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image capturing devices face challenges in improving image quality due to pixel quantization errors caused by high sampling frequencies and limitations in exposure time settings, which result in reduced motion blur compensation and image quality.
Innovation Solution
An image capturing device and method that dynamically adjusts the sampling time of temporary images based on analysis results, selectively integrates high-quality images, and stops capturing when the total sampling time meets or exceeds the initial exposure time, thereby optimizing image quality and reducing unnecessary image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high sampling frequency is used to reduce motion blur, then motion blur compensation is improved, but pixel quantization error increases
Solution Approach 1:
The patent applies dynamics by making the sampling time adjustable rather than fixed. The processing module dynamically modifies sampling time based on analysis of temporary images, allowing the system to adapt between high sampling frequency (for motion blur reduction) and lower sampling frequency (to avoid quantization errors) depending on scene conditions.
Solution Approach 2:
The patent changes the sampling time parameter dynamically. By analyzing temporary images and determining motion states, the system adjusts sampling time to optimize the balance between reducing motion blur and avoiding pixel quantization errors, rather than using a constant high sampling frequency.
2Measurement precision
If multiple temporary images are captured for integration, then image quality is improved, but processing time and complexity increase
Solution Approach 1:
The patent applies preliminary action by capturing and analyzing temporary images before final integration. The processing module analyzes temporary images to determine motion states and adjusts sampling time in advance, allowing selective integration of only those images that will contribute to improved quality without unnecessary processing overhead.
Solution Approach 2:
The patent extracts only the necessary temporary images for integration based on analysis results. Rather than integrating all captured images, the system selectively chooses images that meet quality criteria and contribute to motion blur compensation, removing unnecessary processing of low-value images.
3Ease of operation
If fixed exposure time is used, then capturing process is simple, but image quality is limited due to motion blur
Solution Approach 1:
The patent transforms the fixed exposure time into a dynamic, adjustable parameter. The processing module modifies sampling time based on analysis of temporary images and detection of motion states, allowing the system to maintain simplicity in operation while improving image quality through adaptive sampling time adjustment.
Data Source
AI summary
An image capturing device and an image capturing method thereof are disclosed. The image capturing device includes an image capturing module and a processing module. The image capturing module captures a plurality of temporary images corresponding to a scene. The processing module sequentially analyzes the temporary images and generates a plurality of analysis results. The processing module dynamically adjusts the sampling time of the image capturing module capturing each temporary image according to the analysis results. Moreover, the processing module selects some of the plurality of temporary images according to the analysis results to integrate images. The image capturing module stops capturing the temporary images based upon a stop signal, and finally a storage image is generated.