def cnvnpl(e, f, center=True): """ Name cnvnpl - calculate the normalized convolution function between two images Input e: input image (real) ref:second input image (real) center: if set to True (default), the origin of the result is at the center Output convolution function between image and ref. Real. """ from EMAN2 import convolution, fp_flag return convolution(e,f,fp_flag.PADDED_NORMALIZED_LAG, center)
def cnv(e, f, center=True): """ Name cnv - calculate the circulant convolution function between two images Input e: input image, can be either real or Fourier ref: second input image, can be either real or Fourier. center: if set to True (default), the origin of the result is at the center Output circulant convolution function between image and ref. Real. """ from EMAN2 import convolution, fp_flag return convolution(e,f,fp_flag.CIRCULANT, center)