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blur 21 Image deblurring using inertial measurement sensors
image deblurring camera axes Image deblurring using inertial measurement sensors

Interesting paper from Neel Joshi, Sing Bing Kang, C. Lawrence Zitnick, Richard Szeliski at Microsoft Research, describing how they mounted 3 gyroscopes and a 3-axis accelerometer on a DSLR to record the camera’s motion while a picture is being taken, and used that data to automatically deblur the resulting image at the software level. From their abstract:

We present a deblurring algorithm that uses a hardware attachment coupled with a natural image prior to deblur images from consumer cameras. Our approach uses a combination of inexpensive gyroscopes and accelerometers in an energy optimization framework to estimate a blur function from the camera’s acceleration and angular velocity during an exposure. We solve for the camera motion at a high sampling rate during an exposure and infer the latent image using a joint optimization. Our method is completely automatic, handles per-pixel, spatially-varying blur, and out-performs the current leading image-based methods.

Their prototype is built on an Arduino. [via adafruit]

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Sean Michael Ragan

I am descended from 5,000 generations of tool-using primates. Also, I went to college and stuff. I am a long-time contributor to MAKE magazine and makezine.com. My work has also appeared in ReadyMade, c’t – Magazin für Computertechnik, and The Wall Street Journal.


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