When we get a series of photos from your digital camera or CCD first need to perform a calibration. The calibration process requires proper application darks, bias flats and light sockets on the photographed object, keeping the linear response of the capture device of the camera.
Through a nonlinear transformation of the data after the calibration process can be adapted to make the image more visible to our eyes, as the data is originally represented a small portion of the available dynamic range in the shadows, so that through a device like a monitor can only visually distinguish saturated image pixels.
This nonlinear transformation is basically a transfer function halftone, which lets you change the values \u200b\u200bdepending on brightness of each pixel.
The following figure shows the histogram of input (raw linear data) and output (linear distribution) HistogramTransformation generated from a deep-sky image.
linear distribution
Distribution nonlinear
From non-linear distribution, the information is distributed over the entire dynamic range available , allowing display devices show much more information recorded clearly.
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