Mobile Phone Anti-Shaking via Gravity Sensor and Image Deblurring
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Solution Overview
Problem
Camera mobile phones face challenges in achieving an ideal anti-shaking function due to cost constraints and size limitations, which hinder the effective application of anti-shaking technologies from digital cameras.
Innovation Solution
The method involves using a gravity sensor module to detect shaking levels, controlling exposure time, and employing image processing software to deblur images based on displacement vectors, thereby achieving an anti-shaking effect without increasing the phone's hardware cost or size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If anti-shaking design from digital cameras is copied, then anti-shaking effect is improved, but cost increases significantly
Solution Approach 1:
The patent applies the copying principle by replicating the core anti-shaking algorithm from digital cameras in the mobile phone's software system. The displacement vector calculation and image compensation methods are copied from digital camera technology, allowing mobile phones to achieve similar anti-shaking effects through software implementation rather than expensive hardware modifications.
Solution Approach 2:
The patent replaces mechanical anti-shaking mechanisms with a software-based image processing system. Instead of using physical stabilization components, the invention uses computational methods to detect shaking through displacement vectors and compensate for blur through image processing algorithms, thereby eliminating the need for costly mechanical anti-shaking hardware in mobile phones.
2Reliability
If anti-shaking technologies from digital cameras are applied, then anti-shaking effect is improved, but device size increases
Solution Approach 1:
The patent replaces mechanical anti-shaking mechanisms with a software-based image processing system. Instead of using physical stabilization components, the invention uses computational methods to detect shaking through displacement vectors and compensate for blur through image processing algorithms, thereby eliminating the need for costly mechanical anti-shaking hardware in mobile phones.
Solution Approach 2:
The patent utilizes the mobile phone's existing gravity sensor for multiple purposes - both for basic orientation detection and for anti-shaking functionality. By making the gravity sensor serve dual functions, the system achieves anti-shaking capability without adding dedicated hardware components, thus maintaining compact device size.
3Manufacturing precision
If exposure time is extended to capture more light, then image quality is improved, but shaking blur increases
Solution Approach 1:
The patent implements feedback by continuously monitoring shaking levels through the gravity sensor during image capture and using this real-time information to adjust exposure parameters. The system measures displacement vectors throughout the exposure period and uses this feedback to compensate for blur in post-processing, allowing longer exposure times without proportionally increasing shaking blur.
Solution Approach 2:
The patent performs preliminary action by pre-calculating displacement vectors and estimating shaking patterns before the exposure is complete. This allows the system to prepare compensation strategies in advance and apply corrections during or immediately after capture, rather than dealing with the full extent of blur after the fact.
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 approach allows for an effective anti-shaking image capturing function at a low cost, utilizing high-end gravity sensors to accurately detect shaking and compensate for blurring, ensuring a reliable anti-shaking effect without enlarging the phone's components.
Implementation Method 1
using a gravity sensor module of the mobile phone to detect a shaking level of the mobile phone when capturing an image
Data Source
AI summary
A camera mobile phone with an anti-shaking function and an anti-shaking method for use by the camera mobile phone in image capturing are disclosed. The anti-shaking method comprises the following steps of: using a gravity sensor module of the mobile phone to detect a shaking level of the mobile phone when capturing an image; according to the shaking level detected by the gravity sensor module, controlling an exposure time of the mobile phone in the process of capturing the image so that a camera module of the mobile phone captures the image according to the exposure time; and using an image processing software program to carry out deblurring processing on the blurred image according to a displacement vector generated due to shaking. Because the gravity sensor and the image post-processing technology are adopted, a first anti-shaking effect is achieved by controlling the exposure time according to the shaking level detected when the camera mobile phone captures the image; and a second anti-shaking effect is further achieved by make compensation on the blurred image according to the displacement vector. In this way, an ideal anti-shaking image capturing function can be realized at a low cost on a mobile phone and especially on an intelligent mobile phone with a high-end gravity sensor.