18035479. INTEGRATED VISUAL-INERTIAL ODOMETRY AND IMAGE STABILIZATION FOR IMAGE PROCESSING simplified abstract (QUALCOMM Incorporated)
INTEGRATED VISUAL-INERTIAL ODOMETRY AND IMAGE STABILIZATION FOR IMAGE PROCESSING
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INTEGRATED VISUAL-INERTIAL ODOMETRY AND IMAGE STABILIZATION FOR IMAGE PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18035479 titled 'INTEGRATED VISUAL-INERTIAL ODOMETRY AND IMAGE STABILIZATION FOR IMAGE PROCESSING
Simplified Explanation
The abstract describes a method for image processing that involves compensating for unintentional movement of a device to generate stabilized images. Here are the key points:
- The method receives information about the angular velocity and movement of the device based on the change in position between two frames captured by the device.
- The first set of information is filtered to remove unintentional movement, resulting in a second set of information that accurately represents the device's angular velocity and movement.
- Image stabilization is performed on the current frame using both the first and second sets of information, resulting in an image stabilized current frame.
- The image stabilized current frame is then outputted for display.
Potential applications of this technology:
- Mobile devices: This method can be used in smartphones and tablets to improve the quality of captured images and videos by reducing motion blur caused by unintentional movement.
- Action cameras: Action cameras used in sports and adventure activities can benefit from this method to produce stable and clear footage even in shaky conditions.
- Surveillance systems: Image stabilization can enhance the effectiveness of surveillance cameras by providing clearer and more stable video footage for analysis.
Problems solved by this technology:
- Unintentional movement: The method compensates for unintentional movement of the device, which can occur due to hand tremors or other factors, resulting in stabilized images.
- Motion blur: By stabilizing the images, this method reduces motion blur caused by movement during image capture, resulting in clearer and sharper visuals.
Benefits of this technology:
- Improved image quality: The method enhances the quality of images and videos by reducing motion blur and producing stable footage.
- Enhanced user experience: Users of devices equipped with this technology can enjoy better visual content with reduced shakiness and improved clarity.
- Increased usability: The method can be seamlessly integrated into various devices and applications, providing a valuable feature for capturing and displaying images and videos.
Original Abstract Submitted
An example method for image processing includes receiving a first set of information, the first set of information being indicative of angular velocity and movement of the device based on a change in position of the device across a current frame captured by the device and a subsequent frame captured by the device, filtering the first set of information to compensate for unintentional movement of the device to generate a second set of information, the second set of information being indicative of angular velocity and movement of the device without unintentional movement, performing image stabilization on the current frame based on both the first set of information and the second set of information to generate an image stabilized current frame, and outputting, for display, the image stabilized current frame.
