Image Capturing Device Hand-Shaking Correction via Multi-Exposure Superposition
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Solution Overview
Problem
Existing image capturing devices, such as cameras, fail to effectively reduce the influence of hand-shaking during image capture, leading to blurred images.
Innovation Solution
An image capturing device that performs multiple short exposures and generates image data by superposing data from these exposures, using gyro sensors to detect movement and correct for shaking, thereby generating a stable image that would have been captured in a single proper exposure period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single long exposure is used to capture an image, then the image quality should be sufficient, but hand-shaking causes blurring during the exposure period
Solution Approach 1:
The patent divides a single long exposure into multiple short exposures. Instead of capturing one image over a long period T, the system captures multiple images over shorter periods t1, t2, t3... where each ti < T. This segmentation reduces the impact of hand-shaking in each individual exposure while maintaining the total light gathering capability through superposition of multiple images.
Solution Approach 2:
The patent converts the harmful effect of hand-shaking into a beneficial outcome by using image superposition. Although hand-shaking causes displacement between multiple short exposures, this displacement information is used to calculate correction amounts and perform shift correction during superposition. The hand-shaking that would normally blur the image is instead used to create diversity in the captured light information, which when properly aligned and superposed, produces a sharper final image.
2Object-affected harmful factors
If multiple short exposures are performed and superposed, then hand-shaking influence is reduced, but the device complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the positions of objects in multiple captured images are detected, and the differences in positions are used to calculate correction amounts. These correction amounts are then applied to align and superpose the images. The system continuously monitors image positions and adjusts the superposition process accordingly, creating a closed-loop control system that automatically compensates for hand-shaking without requiring complex manual intervention.
3Reliability
If multiple images are captured and superposed, then image quality improves, but the time required for capture increases
Solution Approach 1:
The patent uses periodic action by capturing multiple images at regular intervals over a total period T. Instead of continuous exposure, the system performs discrete periodic captures at times t1, t2, t3... Each capture is a short exposure, and the periodic nature allows for systematic superposition. This periodic approach maintains total light gathering equivalent to a single long exposure while reducing hand-shaking impact through the intermittent capture strategy.
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 device effectively suppresses the impact of hand-shaking, allowing for high-quality images to be captured without the need for extensive exposure times, maintaining image quality comparable to single-exposure captures.
Implementation Method 1
a vibration detection means for detecting vibration of a body of the camera
Data Source
AI summary
An image capturing device includes an image capturer, operable to perform a first image capturing of an object image so as to generate first image data corresponding to a first time period shorter than a predetermined time period, and operable to perform a second image capturing of the object image so as to generate second image data corresponding to a second time period shorter than the predetermined time period, a storage, adapted to store the first image data and the second image data, and an image generator, operable to generate image data corresponding to the predetermined time period based on the first image data and the second image data.