同态滤波处理视频 python

你可以使用OpenCV库来实现视频的同态滤波处理。下面是一个简单的Python代码示例：

import cv2
import numpy as np

def homomorphic_filter(img, cutoff_freq, gamma_l, gamma_h):
    img_float = np.float32(img) / 255.0

    # 对图像进行对数变换
    img_log = np.log1p(img_float)

    # 傅里叶变换
    img_fft = np.fft.fft2(img_log)

    # 创建同态滤波器
    rows, cols = img.shape
    center_x, center_y = int(rows / 2), int(cols / 2)
    h = np.zeros((rows, cols))
    for i in range(rows):
        for j in range(cols):
            h[i, j] = (gamma_h - gamma_l) * (1 - np.exp(-cutoff_freq * ((i - center_x) ** 2 + (j - center_y) ** 2))) + gamma_l

    # 滤波
    img_filtered = np.real(np.fft.ifft2(h * img_fft))

    # 反对数变换
    img_exp = np.expm1(img_filtered)
    img_output = np.uint8(255 * img_exp)

    return img_output

# 读取视频
cap = cv2.VideoCapture('input.mp4')

# 获取视频信息
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = cap.get(cv2.CAP_PROP_FPS)

# 创建视频编写器
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter('output.mp4', fourcc, fps, (width, height))

# 处理每一帧
while cap.isOpened():
    ret, frame = cap.read()
    if not ret:
        break
    
    # 转换为灰度图像
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
    # 同态滤波处理
    filtered = homomorphic_filter(gray, cutoff_freq=0.1, gamma_l=0.5, gamma_h=2.0)
    
    # 写入输出视频
    out.write(cv2.cvtColor(filtered, cv2.COLOR_GRAY2BGR))

# 释放资源
cap.release()
out.release()
cv2.destroyAllWindows()

你可以将需要处理的视频命名为`input.mp4`，代码将会输出处理后的视频文件`output.mp4`。请注意，同态滤波的参数`cutoff_freq`、`gamma_l`和`gamma_h`可能需要根据具体情况进行调整以获得最佳效果。