Image Capture With Multi-Exposure Buffer Queues for Motion Clarity
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Solution Overview
Problem
Existing image capturing methods struggle to clearly capture moving subjects due to motion blur caused by long shutter times and inadequate exposure adjustments in non-zero and zero latency photo modes.
Innovation Solution
An image capturing method that determines a target image frame based on a buffer queue containing frames with different exposures, using different acquisition parameters such as shutter speed and sensitivity to optimize image capture for moving subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If shutter time is shortened to capture moving subjects clearly, then image clarity is improved, but exposure time is reduced which may affect image quality
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting shutter speed and sensitivity parameters based on motion detection. When motion is detected, the system increases shutter speed (shortening exposure time) to freeze motion and improve clarity. The sensitivity parameter is simultaneously adjusted to maintain proper exposure, resolving the contradiction between short exposure time and image quality.
2Manufacturing precision
If non-zero latency photo mode is used, then image quality is improved through proper exposure, but timing accuracy deteriorates causing missed moments
Solution Approach 1:
The patent implements preliminary action by pre-processing images and pre-calculating exposure parameters before the actual photo capture moment. The system detects motion and determines optimal shutter speed in advance, then executes the capture immediately when triggered, eliminating the delay inherent in non-zero latency modes while maintaining image quality.
3Loss of time
If zero latency photo mode is used, then timing accuracy is improved, but image quality deteriorates due to motion blur from old shutter speed
Solution Approach 1:
The patent applies dynamics by making the shutter speed adjustable rather than fixed. The system dynamically changes the shutter speed parameter based on real-time motion detection at the moment of capture. This allows zero latency timing while avoiding motion blur, as the shutter speed adapts to the current motion state rather than using a predetermined old value.
4Adaptability or versatility
If multiple image frames with different exposures are captured, then adaptability is improved for different scenarios, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the image capture process into multiple independent frames with different exposure parameters. Each frame is captured with specific shutter speed and sensitivity settings optimized for different scenarios. The system then selects the appropriate frame based on motion detection, providing scenario adaptability while managing complexity through structured frame organization.
Data Source
AI summary
An image capturing method includes: in response to an obtained shooting command, determining a target image frame corresponding to a moment when the shooting command is obtained in a buffer queue; and saving the target image frame as a photo. The buffer queue includes images frames obtained at different moments with different exposures. A plurality of image frames obtained at a same moment with a same exposure are respectively located in different buffer queues. Values of target acquisition parameters of the plurality of image frames obtained at the same moment are different.