working with raw image files

[kafooster]

On 15 Cze, 01:25, Dave Angel <da... at ieee.org> wrote:
> On 01/-10/-28163 02:59 PM, kafooster wrote:
>
> > On 14 Cze, 22:26, MRAB<pyt... at mrabarnett.plus.com>  wrote:
>
> >> Multiply the numpy array by a scaling factor, which is
> >> float(max_8bit_value) / float(max_16bit_value).
>
> > could you please explain it a little? I dont understand it. like
> > multiplying each element?
>
> You said in an earlier message to ignore the RAW format.  However, if
> your file matches a typical camera's raw file, there are several problems:
>
> 1) the data is typically 12 to 14 bits per pixel, only rarely 16 (very
> expensive cameras)
> 2) the data does not have R, G and B values for each pixel, but only one
> of these.  The others are generated by Bayer interpolation.
> 3) the data is linear (which is what the hardware produces), and
> traditional image data wants to be in some non-linear color space.  For
> example, most jpegs are sRGB 8*3 bits per pixel.
>
> The first would mean that you'd need to do a lot of shifting and
> masking.  The second would mean a pretty complex interpolation
> algorithm.  And the third would require an exponential function at the
> very least.
>
> DaveA

well, I am only working with grayscale MRI medical images(mainly 8 or
16bits), saved as .raw. I do not need to worry about rgb.