Digital Camera Simulation Using Spatially Varying PSF Convolutions
OwnerAnimesh Khemka, Chyuan-Tyng Wuinventors
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Abstract
A spatially varying PSF may be applied in a camera simulator by multiplying a fixed weight map by its impact region. Next, Fast Fourier Transform (FFT) both IWk and Ak, multiply the FFT results element by element and do an inverse FFT (IFFT) to bring the results back to spatial domain. The output image is exactly the same as the outcome of direct approach with the same interpolation method for spatially varying PSF. However, the operation now will be significantly faster in some embodiments.
Claims20
A computer implemented method comprising:
- weighting an input image signal;
- and
- modelling a spatially varying point spread function of said input signal as a sum of convolutions with fixed point spread functions.
One or more non-transitory computer readable media storing instructions executed by a processor to perform a sequence comprising:
- weighting an input image signal;
- and
- modelling a spatially varying point spread function of said input signal as a sum of convolutions with fixed point spread functions.
An apparatus comprising:
- a device to weight an input image signal;
- and
- a unit to model a spatially varying point spread function of said input signal as a sum of convolutions with fixed point spread functions.
A camera simulator comprising:
- an optics simulator including:
- a multiplier to receive raw images and a fixed weight map and to multiply the fixed weight map by its impact region;
- a fast fourier transform to receive weights multiplied by an image I and to convolve with a point spread function;
- and
- an image signal processing simulator coupled to same optics simulator.
Dependencies are inferred from the claim text.