rising2.py

from numpy import flipud
from numpy import zeros
import matplotlib.image

image_dn = zeros([494,659], dtype = float) #image size
filename = r'image_150529_123155_0x79_HPCM_750nm_659x494_complete.bin'  #directory + filename ng bin

def binToInt(astring):
    temp = ' '.join(format(ord(i),'b').zfill(8) for i in astring)
    temp = temp[0:8]+temp[9:17]
    temp = int(temp,2)
    return temp


with open(filename, "rb") as f:
    f.seek(89)
    svt = f.read(2)
    svt = float(binToInt(svt))
    sht = f.read(2)
    sht = float(binToInt(sht))
    expT = (0.03337*svt)+(524-sht)*(0.00006356)+(487/780)*(0.00006356)
    f.seek(95)
    gain = f.read(2)
    gain = binToInt(gain)
    f.seek(651314)
    wavelenght = f.read(2)
    wavelenght = binToInt(wavelenght)+650

    f.seek(206) #start ng image data after header
    for i in range(0,494):
        for j in range(0,659):
            data = f.read(2)
            data = binToInt(data)
            image_dn[i,j]=data

print "Wavelength = "+str(wavelenght)+"\n"+"Exposure time = "+str(expT)+" s"+"\n"+"Gain = "+str(gain) 
image_dn = flipud(image_dn)
matplotlib.image.imsave("img_750.tif", image_dn, cmap="gray", format="tif") #bin to image file