Python实现简单线性插值去马赛克算法代码示例

import numpy as np
import matplotlib.pyplot as plt

def read_raw(file_path, bits, width, height):
    with open(file_path, 'rb') as f:
        raw_data = np.fromfile(f, dtype=np.uint8)
    bayer_data = raw_data.reshape((height, width))
    return bayer_data

def demosaic(bayer_data, width, height):
    # 扩展图像以便于计算边缘像素
    bayer_padding = np.zeros((height + 2, width + 2), dtype=np.float32)
    bayer_padding[1:height+1, 1:width+1] = bayer_data
    bayer_padding[0, :] = bayer_padding[2, :]
    bayer_padding[height+1, :] = bayer_padding[height, :]
    bayer_padding[:, 0] = bayer_padding[:, 2]
    bayer_padding[:, width+1] = bayer_padding[:, width]

    # 插值的主要代码
    im_dst = np.zeros((height + 2, width + 2, 3), dtype=np.float32)
    for ver in range(1, height + 1):
        for hor in range(1, width + 1):
            if (ver % 2 == 1 and hor % 2 == 1):  # Red pixel
                im_dst[ver, hor, 0] = bayer_padding[ver, hor]
                im_dst[ver, hor, 1] = (bayer_padding[ver-1, hor] + bayer_padding[ver+1, hor] +
                                       bayer_padding[ver, hor-1] + bayer_padding[ver, hor+1]) / 4
                im_dst[ver, hor, 2] = (bayer_padding[ver-1, hor-1] + bayer_padding[ver-1, hor+1] +
                                       bayer_padding[ver+1, hor-1] + bayer_padding[ver+1, hor+1]) / 4
            elif (ver % 2 == 0 and hor % 2 == 0):  # Blue pixel
                im_dst[ver, hor, 2] = bayer_padding[ver, hor]
                im_dst[ver, hor, 1] = (bayer_padding[ver-1, hor] + bayer_padding[ver+1, hor] +
                                       bayer_padding[ver, hor-1] + bayer_padding[ver, hor+1]) / 4
                im_dst[ver, hor, 0] = (bayer_padding[ver-1, hor-1] + bayer_padding[ver-1, hor+1] +
                                       bayer_padding[ver+1, hor-1] + bayer_padding[ver+1, hor+1]) / 4
            elif (ver % 2 == 1 and hor % 2 == 0):  # Green pixel (on Red row)
                im_dst[ver, hor, 1] = bayer_padding[ver, hor]
                im_dst[ver, hor, 0] = (bayer_padding[ver, hor-1] + bayer_padding[ver, hor+1]) / 2
                im_dst[ver, hor, 2] = (bayer_padding[ver-1, hor] + bayer_padding[ver+1, hor]) / 2
            elif (ver % 2 == 0 and hor % 2 == 1):  # Green pixel (on Blue row)
                im_dst[ver, hor, 1] = bayer_padding[ver, hor]
                im_dst[ver, hor, 2] = (bayer_padding[ver, hor-1] + bayer_padding[ver, hor+1]) / 2
                im_dst[ver, hor, 0] = (bayer_padding[ver-1, hor] + bayer_padding[ver+1, hor]) / 2

    im_dst = im_dst[1:height+1, 1:width+1, :]
    return im_dst

# ------------原始格式----------------
file_path = '../images/kodim19_8bits_RGGB.raw'
bayer_format = 'RGGB'
width = 512
height = 768
bits = 8
# --------------------------------------

bayer_data = read_raw(file_path, bits, width, height)

plt.figure()
plt.imshow(bayer_data, cmap='gray')
plt.title('raw image')
plt.show()

im_dst = demosaic(bayer_data, width, height).astype(np.uint8)

plt.figure()
plt.imshow(im_dst)
plt.title('demosaic image')
plt.show()

org_image = plt.imread('../images/kodim19.png')
plt.figure()
plt.imshow(org_image)
plt.title('org image')
plt.show()