Four ways to improve picture clarity in Python

1. Installation of the library

Library	use	Install
pillow	Picture related	pip install pillow -i /simple/
cv2	View related	pip install opencv-python -i /simple/
torch	View related	ppip install torch -i /simple/
torchvision	View related	ppip install torchvision -i /simple/

2. Implementation method

Method 1—PIL

Library	use	Install
pillow	Picture related	pip install pillow -i /simple/

Sample code

from PIL import Image, ImageFilter

# Open the pictureimage = ('input_image.jpg')

# Apply sharp filterssharpened_image = ()

# Save the resultssharpened_image.save('sharpened_image.jpg')

Method 2—cv2

Library	use	Install
cv2	View related	pip install opencv-python -i /simple/

Sample code

import cv2
import numpy as np

# Read picturesimage = ('input_image.jpg')

# Gaussian blurblurred = (image, (0, 0), 3)

# Sharpensharpened = (image, 1.5, blurred, -0.5, 0)

# Save the results('sharpened_image.jpg', sharpened)

Method 3—torch

Library	use	Install
cv2	View related	pip install opencv-python -i /simple/
torch	View related	ppip install torch -i /simple/
torchvision	View related	ppip install torchvision -i /simple/

Sample code

import cv2
import torch
from  import ToTensor, ToPILImage

# Load the pretrained ESRGAN modelmodel = ('xinntao/ESRGAN', 'esrgan', pretrained=True)
()

# Read picturesimage = ('input_image.jpg')
image = (image, cv2.COLOR_BGR2RGB)
image = ToTensor()(image).unsqueeze(0)

# Use the model for super resolutionwith torch.no_grad():
    output = model(image)

# Save the resultsoutput_image = ToPILImage()((0))
output_image.save('super_resolution_image.jpg')

Method 4—waifu2x

Library	use	Install
waifu2x	View related	ppip install waifu2x -i /simple/

Sample code

from waifu2x import Waifu2x

# Create a waifu2x objectwaifu2x = Waifu2x()

# Improve image claritywaifu2x.upscale_image('input_image.jpg', 'output_image.jpg')

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