Hello,
The last few days I was wondering if something like this was possible. It seems Microsoft has already researched these kinds of ideas.
Now I am wondering if these kinds of algorithms and hardware is already implemented in todays digital cameras ? Any ideas ?
(I know my soon to arrive canon powershot sx50 has some sort of "image stablization" but perhaps that uses different techniques...)
News article:
Microsoft Anti-Blur Algorithm Saves Photos From Your Shaky Hands
Microsoft Article:
" 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. Our experiments show that it handles large kernels ? up to at least 100 pixels, with a typical size of 30 pixels. We also present a method to perform ?ground-truth? measurements of camera motion blur. We use this method to validate our hardware and deconvolution approach. To the best of our knowledge, this is the first work that uses 6 DOF inertial sensors for dense, per-pixel spatially-varying image deblurring and the first work to gather dense ground-truth measurements for camera-shake blur. "
Bye, Skybuck.