Frustration with 12 bit images
Stefan van der Walt
stefanv at berkeley.edu
Wed Jul 29 16:51:53 EDT 2015
Hi Johnny
On 2015-07-29 11:50:59, goettj at gmail.com wrote:
> The input image data response to min and max make good 12bit
> sense, but
> it is totally beyond me how I am getting 16bit responses for D
> and E.
Your images are loaded in with dtype uint16, which has range 0 to
65535 (even though your 12-bit max value is 4095). So, when you
subtract a value and it goes below 0, wraparound occurs:
In [2]: np.array([0, 1, 2], dtype=np.uint16) - 5 Out[2]:
array([65531, 65532, 65533], dtype=uint16)
One way to solve the problem is to first change the type of your
images to np.int32 or np.int64.
Regards
Stéfan
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