基于网友的方案,手动改的方案。传送门链接
''' 同态滤波 ''' def homofilter(img): I = np.float32(img) I3 = I m, n, chanels = I.shape rL = 0.5 rH = 2 c = 2 d0 = 20 for chanel in range(chanels): I1 = np.log(I[:, :, chanel] + 1) FI = np.fft.fft2(I1) n1 = np.floor(m / 2) n2 = np.floor(n / 2) D = np.zeros((m, n)) H = np.zeros((m, n)) for i in range(m): for j in range(n): D[i, j] = ((i - n1) ** 2 + (j - n2) ** 2) H[i, j] = (rH - rL) * (np.exp(c * (-D[i, j] ** 2 / (d0 ** 2)))) + rL I2 = np.fft.ifft2(H * FI) I3[:, :, chanel] = np.real(np.exp(I2)) max_index = np.unravel_index(I3.argmax(), I3.shape) maxV = I3[max_index[0], max_index[1], max_index[2]] min_index = np.unravel_index(I3.argmin(), I3.shape) minV = I3[min_index[0], min_index[1], min_index[2]] print(I3.shape) for chanel in range(chanels): for i in range(m): for j in range(n): I3[i, j, chanel] = 255 * (I3[i, j, chanel] - minV) / (maxV - minV) return np.int32(I3)
##实现效果
同态滤波之后,颜色有点变得离谱。大神路过有建议的话,麻烦评论一下,我会关注的5555
可能有些问题,大家积极评论,我积极改进。更新正文内容。