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Multiframe Blur Estimation using Inertial Measurement Sensors (B)Status: AbgeschlossenOverviewA common use case of smartphone cameras is to take photos of pin board advertisements or posters to remember a piece of information. The small form factor of today's smartphone cameras allows only a small aperture and hence longer exposure times. Camera movements such as handshake during the exposure result in motion blur in the recoded image.The thesis deals with the removal of motion and handshake blur from pictures of flat surfaces with text such as posters, ads or price tags, using inertial measurement sensors and multiple frames from the video stream. The sensor values of the built-in accelerometer and gyroscope are evaluated to estimate the motion during a shot. This requires time synchronization of the camera and the inertial sensors. The information from multiple subsequent frames of the same scene with different blur can be exploited to reconstruct a sharp image of the scene. Requirements
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Contact/Ansprechpartner: Gábor Sörös |
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