基于Python的运动模糊图像复原系统
时间: 2024-03-28 13:32:12 浏览: 20
基于Python的运动模糊图像复原系统可以通过以下步骤实现:
1. 导入所需的库和模块:
```python
import cv2
import numpy as np
from scipy.signal import convolve2d
```
2. 定义运动模糊传递函数:
```python
def motion_blur_kernel(size, angle):
kernel = np.zeros((size, size))
angle = np.deg2rad(angle)
center = (size-1) / 2
slope = np.tan(angle)
for i in range(size):
for j in range(size):
if np.abs((j-center)*slope-(i-center)) < 1e-5:
kernel[i, j] = 1
kernel /= np.sum(kernel)
return kernel
```
3. 加载模糊图像并进行运动模糊处理:
```python
def motion_blur(image, size, angle):
kernel = motion_blur_kernel(size, angle)
blurred = convolve2d(image, kernel, mode='same')
return blurred.astype(np.uint8)
```
4. 进行图像复原:
```python
def restore_image(blurred, size, angle):
kernel = motion_blur_kernel(size, angle)
restored = np.zeros_like(blurred, dtype=np.float64)
kernel_fft = np.fft.fft2(kernel, s=blurred.shape)
blurred_fft = np.fft.fft2(blurred)
restored_fft = np.divide(blurred_fft, kernel_fft, where=kernel_fft!=0)
restored = np.fft.ifft2(restored_fft).real
restored = np.clip(restored, 0, 255)
restored = restored.astype(np.uint8)
return restored
```
5. 调用函数进行图像复原:
```python
# 加载模糊图像
blurred_image = cv2.imread('blurred_image.png', 0)
# 进行运动模糊处理
size = 15 # 模糊核大小
angle = 30 # 运动方向角度
blurred = motion_blur(bl_image, size, angle)
# 进行图像复原
restored = restore_image(blurred, size, angle)
# 显示结果
cv2.imshow('Blurred Image', blurred)
cv2.imshow('Restored Image', restored)
cv2.waitKey(0)
cv2.destroyAllWindows()
```