Establishment of the PSF based on sensors data

asked 2018-06-15 14:14:01 -0500

morrinoa gravatar image

Just want to apologize for my English, it's Google transl. I have an array of data taken from a gyroscope and an accelerometer. How can I build a PSF (point spread function) based on them? I plan to use the PSF to deconvolve the image using the sepFilter2d method, which takes two kernels on the input, along the X and Y axes, which only confuses me more. Please help.

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i do not understand, how your gyro/accel data is related to "deconvolving an image". can you try to explain ?

berak gravatar imageberak ( 2018-06-16 01:32:04 -0500 )edit
1

Using sensor data, it is possible to determine what motion our device performed during the frame capture (provided synchronization of the processes of frame acquisition and data acquisition from the sensors). I believe that using the sensor data it is possible to calculate PSF, for application in the Lucy-Richardson algorithm, as indicated here link text. I believe that it is possible to build a PSF by turning and shifting Gaussians using data from sensors, but I do not understand how it can be done. So far, I just figured out how to build a rotation matrix from the gyroscope, although I'm not sure if it's useful at all.

morrinoa gravatar imagemorrinoa ( 2018-06-16 05:07:33 -0500 )edit

thanks for the update !

Using sensor data, it is possible to determine what motion our device performed

i'd think so, too !

I believe that it is possible to build a PSF by turning and shifting Gaussians using data from sensors, but I do not understand how it can be done.

same here ;(

berak gravatar imageberak ( 2018-06-16 05:14:33 -0500 )edit