I ended up having to write a custom Python script which you can find here. Here's the important part.
#Load the raw file f = open(filename,'rb') # switch to command line args later #Because the byte order is weird a = f.read(1) b = f.read(1) #First line is rows rows = int((b+a).encode('hex'), 16) a = f.read(1) b = f.read(1) #Second line is columns cols = int((b+a).encode('hex'), 16) #Last byte is encoding, but we're just going to ignore it f.read(1) #And everything else is 8 bit encoded, so let's load it into numpy and display it with matplotlib bin_image = np.fromstring(f.read(), dtype=np.uint8) #Change the shape of the array to the actual shape of the picture bin_image.shape = (cols, rows) fig = pylab.figure() #Display the original image fig.add_subplot(1,4,1) pylab.imshow(bin_image, cmap=cm.gray)