In this article we will see how we can covert rgb image to sepia in mahotas. 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. Sepia-toning effect is used very commonly in photography. It is the process of changing the intensity on every pixel color of a gray-scale image, or so-called black-and-white.
In this tutorial we will use “lena” image, below is the command to load it.
mahotas.demos.load('lena')
Below is the lena image
In order to do this we will use mahotas.colors.rgb2sepiamethod
Syntax : mahotas.colors.rgb2sepia(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') # showing imageprint("Image")imshow(img)show()# rgb to sepianew_img = mahotas.colors.rgb2sepia(img)# showing new 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]# showing imageprint("Image")imshow(img)show()# rgb to sepianew_img = mahotas.colors.rgb2sepia(img)# showing new imageprint("New Image")imshow(new_img)show() |
Output :
Image
New Image
