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MU Series (Windows)
User’s Manual
Process Menu Tools
Color Toning
Local Color Correcon - This funcon is a digital enhancement used to enhance colors that may have not been
accurately reproduced by the soware and camera sensor on inial capture. It uses a two step algorithm to
detect and adjust the image correctly.
The rst step is that the soware creates a mask image computed from the intensity of each color in an image,
dened as the average of red (R), green (G), and blue (B) pixel values. Intensity informaon helps the algorithm
avoid distorons of the chroma (colors). The mask itself is then created by inverng and blurring the intensity
component of the input image (using the negave of the image). The mask is then combined with the input
image to get the nal result, much like the “UnSharpen Mask...” funcon.
The combinaon aspect consists of a power funcon where the exponent is computed using the mask value
previously found. If the mask is greater than 128, it will result in an exponent less than 1, while if the mask
value is lower than 128, it will result in an exponent greater than 1. If the mask value is precisely 128, the expo-
nent will be 1, and won’t have an eect on the input image. It can be thought of as a pixel-wise gamma correc-
on.
The “Strength” slider quanes how strong the color correcon funcon will be, where the larger the value is,
the more aggressively the colors will be toned.
Adapve Mul-scale Renex (AMSR) - This funcon is a digital enhancement used to improve the perfor-
mance of the dynamic range captured by the camera sensor. Typically, images are processed using a low
dynamic range (low range between minimum and maximum contrast values) in order to display on common
monitors, which tend to be low dynamic range display devices. By adjusng from MSR to AMSR, there is a no-
ceable increase in dynamic range, color consistency, and color reproducon.
Because the AMSR funcon does not have a dialog box or parameters to be input, once the funcon is clicked
on, it will automacally perform the enhancement process.
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