Wolfram.com
WolframAlpha.com
WolframCloud.com

Wolfram Language Example Repository

Ready-to-use examples for the Wolfram Language

Primary Navigation

- Alphabetical List

Submit a New Resource

Related Pages

ColorSeparate
ColorCombine
Mean
ImageEffect
ImageAdjust

Image Processing

Simple Image Contrast Boosting

Build a contrast booster using arithmetic and statistical operations

Open in Cloud
Download Notebook

Start with an RGB image:

In[1]:=

i=

;

Compute the mean pixel values of the image:

In[2]:=

Mean[i]

Out[2]=

{0.517668,0.431118,0.315319}

Statistical operations work on a collection of pixel values represented as channel vectors, for example {r, g, b} for RGB images. Compute the mean for each color channel to get the same result:

In[3]:=

Mean/@ColorSeparate[i]

Out[3]=

{0.517668,0.431118,0.315319}

Use statistical and arithmetic operations to take the deviation for each color channel:

In[4]:=

ColorSeparate[i]-Mean[i]

Out[4]=



,

,



Combining the deviation with the original mean, build a simple contrast booster:

In[5]:=

Mean[i]+2(ColorSeparate[i]-Mean[i])//ColorCombine

Out[5]=

Modify the algorithm to create more extreme effects:

In[6]:=

Mean[i]-1(ColorSeparate[i]-Mean[i])//ColorCombine

Out[6]=

Experiment with the algorithm and create more effects:

In[7]:=

Table[ColorCombine[n(ColorSeparate[i]-Mean[i])+Mean[i]],{n,{-3,-1,2,4}}]

Out[7]=

For comparison, use

to boost the color appearance by extending the contrast in the image lightness:

In[8]:=

ImageEffect[i,"ColorBoosting"]

Out[8]=

Related Symbols

ColorSeparate
ColorCombine
Mean
ImageEffect
ImageAdjust

Publisher Information

Contributed by: Wolfram Staff

© 2024 Wolfram. All rights reserved.

Legal & Privacy Policy
Contact Us
WolframAlpha.com
WolframCloud.com