在不增加文件大小的情况下旋转图像(锐化/节点)

import cv2

# 读取图像
image = cv2.imread('input.jpg')

# 获取图像宽度和高度
height, width = image.shape[:2]

# 旋转图像
rotation_angle = 45
rotation_matrix = cv2.getRotationMatrix2D((width/2, height/2), rotation_angle, 1)
rotated_image = cv2.warpAffine(image, rotation_matrix, (width, height))

# 显示旋转后的图像
cv2.imshow('Rotated Image', rotated_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

import numpy as np
from PIL import Image

# 读取图像
image = Image.open('input.jpg')

# 获取图像宽度和高度
width, height = image.size

# 旋转角度（弧度）
rotation_angle = np.deg2rad(45)

# 计算旋转后的图像大小
rotated_width = int(abs(width * np.cos(rotation_angle)) + abs(height * np.sin(rotation_angle)))
rotated_height = int(abs(width * np.sin(rotation_angle)) + abs(height * np.cos(rotation_angle)))

# 创建旋转后的图像
rotated_image = Image.new('RGB', (rotated_width, rotated_height))

# 进行图像旋转
for x in range(rotated_width):
    for y in range(rotated_height):
        x_new = int((x - rotated_width / 2) * np.cos(rotation_angle) - (y - rotated_height / 2) * np.sin(rotation_angle)) + width / 2
        y_new = int((x - rotated_width / 2) * np.sin(rotation_angle) + (y - rotated_height / 2) * np.cos(rotation_angle)) + height / 2
        if 0 <= x_new < width and 0 <= y_new < height:
            rotated_image.putpixel((x, y), image.getpixel((int(x_new), int(y_new))))

# 显示旋转后的图像
rotated_image.show()