The contrast of an image refers to the amount of color differentiation that exists between the various features of an image. To adjust the contrast of an image, we apply adjust_contrast(). It's one of the functional transforms provided by the torchvision.transforms module. This module contains many important functional transformations that can be used to perform different types manipulations on the image data.
adjust_contrast() transformation accepts both PIL and tensor images. A tensor image is a PyTorch tensor with shape [C, H, W], where C is the number of channels, H is the image height, and W is the image width. This transform also accepts a batch of tensor images which is a tensor with [B, C, H, W] where B is the number of images in the batch. If the image is neither a PIL image nor a tensor image, then we first convert it to a tensor image and then apply the adjust_contrast(). All the functional transforms can be accessed from torchvision.transforms.functional.
img - It's the image of which the contrast is to be adjusted. It is a PIL image or torch tensor. It may be a single image or a batch of images.
contrast_factor - A non-negative number. 0 gives a solid gray image, 1 gives the original image.
It returns the contrast adjusted image.
To adjust the contrast of an image, one could follow the steps given below
Import the required libraries. In all the following examples, the required Python libraries are torch., Pillow,and torchvision Make sure you have already installed them.
import torch import torchvision import torchvision.transforms.functional as F from PIL import Image
Read the input image. The input image is a PIL image or a torch tensor.
img = Image.open('Nature_canada.jpg')
Adjust the contrast of the image with the desired contrast factor.
img = F.adjust_contrast(img, 0.3)
Visualize the contrast adjusted image.
We will use this image as the input file in the following examples
In the following Python program, we adjust the contrast of an input image with a contrast_factor=0.3.
# Import the required libraries import torch from PIL import Image import torchvision.transforms.functional as F # read the input image img = Image.open('Nature_canada.jpg') # adjust the contrast of the image img = F.adjust_contrast(img, 0.3) # display the contrast adjusted image img.show()
In the following Python program, we adjust the contrast of an input image with a contrast_factor=6.
import torch from PIL import Image import torchvision.transforms.functional as F img = Image.open('Nature_canada.jpg') img = F.adjust_contrast(img, 6) img.show()