def apply_enhancement(avg, B_start, pixel_size, user_defined_Bfactor):
if user_defined_Bfactor > 0.0:
global_b = user_defined_Bfactor
else:
guinierline = sp_fundamentals.rot_avg_table(
sp_morphology.power(
EMAN2_cppwrap.periodogram(sp_fundamentals.fft(avg)), 0.5))
freq_max = old_div(1.0, (2.0 * pixel_size))
freq_min = old_div(1.0, B_start)
b, junk, ifreqmin, ifreqmax = sp_morphology.compute_bfactor(
guinierline, freq_min, freq_max, pixel_size)
# print(ifreqmin, ifreqmax)
global_b = b * 4.0 #
return (
sp_filter.filt_gaussinv(sp_fundamentals.fft(avg),
numpy.sqrt(old_div(2.0, global_b))),
global_b,
)
def apply_enhancement(avg, B_start, pixel_size, user_defined_Bfactor):
pass #IMPORTIMPORTIMPORT from sp_filter import filt_gaussinv
pass #IMPORTIMPORTIMPORT from sp_fundamentals import rot_avg_table
pass #IMPORTIMPORTIMPORT from sp_morphology import compute_bfactor
pass #IMPORTIMPORTIMPORT from EMAN2 import periodogram
if user_defined_Bfactor > 0.0:
global_b = user_defined_Bfactor
else:
guinierline = sp_fundamentals.rot_avg_table(
sp_morphology.power(
EMAN2_cppwrap.periodogram(sp_fundamentals.fft(avg)), .5))
freq_max = 1. / (2. * pixel_size)
freq_min = 1. / B_start
b, junk, ifreqmin, ifreqmax = sp_morphology.compute_bfactor(
guinierline, freq_min, freq_max, pixel_size)
#print(ifreqmin, ifreqmax)
global_b = b * 4. #
return sp_filter.filt_gaussinv(sp_fundamentals.fft(avg),
numpy.sqrt(2. / global_b)), global_b