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# Mahotas – XYZ to RGB Conversion

• Last Updated : 29 May, 2021

In this article we will see how we can covert xyz image to rgb image in mahotas. Xyz is an additive color space based on how the eye interprets stimulus from light. Unlike other additive rgb like Rgb, Xyz is a purely mathematical space and the primary components are “imaginary”, meaning we can’t create the represented color in the physical by shining any sort of lights representing x, y, and z. An RGB image, sometimes referred to as a truecolor image, is stored in MATLAB as an m-by-n-by-3 data array that defines red, green, and blue color components for each individual pixel. We use mahotas.colors.rgb2xyz method for converting rgb image to xyz image.

In this tutorial we will use “lena” image, below is the command to load it.

Below is the lena image

In order to do this we will use mahotas.colors.xyz2rgbmethod

Syntax : mahotas.colors.xyz2rgb(img)
Argument :It takes image object as argument
Return : It returns image object

Below is the implementation

## Python3

 # importing required librariesimport mahotasimport mahotas.demosfrom pylab import gray, imshow, showimport numpy as np  # loading imageimg = mahotas.demos.load('lena') # rgb to xyzxyz_img = mahotas.colors.rgb2xyz(img) # showing new imageprint("Image")imshow(xyz_img)show() # getting rgb imagenew_img = mahotas.colors.xyz2rgb(xyz_img) # showing imageprint("New Image")imshow(new_img)show()

Output :

Image

New Image

Another example

## Python3

 # importing required librariesimport mahotasimport numpy as npimport matplotlib.pyplot as pltimport os  # loading imageimg = mahotas.imread('dog_image.png')       # filtering imageimg = img[:, :, :3] # rgb to xyzxyz_img = mahotas.colors.rgb2xyz(img) # showing new imageprint("Image")imshow(xyz_img)show() # getting rgb imagenew_img = mahotas.colors.xyz2rgb(xyz_img) # showing imageprint("New Image")imshow(new_img)show()

Output :

Image

New Image

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