Python中提升图片清晰度的四种方法

from PIL import Image, ImageFilter

# 打开图片
image = Image.open('input_image.jpg')

# 应用锐化滤镜
sharpened_image = image.filter(ImageFilter.SHARPEN)

# 保存结果
sharpened_image.save('sharpened_image.jpg')

import cv2
import numpy as np

# 读取图片
image = cv2.imread('input_image.jpg')

# 高斯模糊
blurred = cv2.GaussianBlur(image, (0, 0), 3)

# 锐化
sharpened = cv2.addWeighted(image, 1.5, blurred, -0.5, 0)

# 保存结果
cv2.imwrite('sharpened_image.jpg', sharpened)

import cv2
import torch
from torchvision.transforms import ToTensor, ToPILImage

# 加载预训练的ESRGAN模型
model = torch.hub.load('xinntao/ESRGAN', 'esrgan', pretrained=True)
model.eval()

# 读取图片
image = cv2.imread('input_image.jpg')
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
image = ToTensor()(image).unsqueeze(0)

# 使用模型进行超分辨率
with torch.no_grad():
    output = model(image)

# 保存结果
output_image = ToPILImage()(output.squeeze(0))
output_image.save('super_resolution_image.jpg')

from waifu2x import Waifu2x

# 创建waifu2x对象
waifu2x = Waifu2x()

# 提升图片清晰度
waifu2x.upscale_image('input_image.jpg', 'output_image.jpg')