opencv打卡75: 高斯⾦金金字塔(Gaussian Pyramid)

1、介绍
2、代码

import cv2
import numpy as np
import matplotlib.pyplot as plt

# Grayscale
def BGR2GRAY(img):
	# Grayscale
	gray = 0.2126 * img[..., 2] + 0.7152 * img[..., 1] + 0.0722 * img[..., 0]
	return gray

# Bi-Linear interpolation
def bl_interpolate(img, ax=1., ay=1.):
	if len(img.shape) > 2:
		H, W, C = img.shape
	else:
		H, W = img.shape
		C = 1

	aH = int(ay * H)
	aW = int(ax * W)

	# get position of resized image
	y = np.arange(aH).repeat(aW).reshape(aW, -1)
	x = np.tile(np.arange(aW), (aH, 1))

	# get position of original position
	y = (y / ay)
	x = (x / ax)

	ix = np.floor(x).astype(np.int)
	iy = np.floor(y).astype(np.int)

	ix = np.minimum(ix, W-2)
	iy = np.minimum(iy, H-2)

	# get distance 
	dx = x - ix
	dy = y - iy

	if C > 1:
		dx = np.repeat(np.expand_dims(dx, axis=-1), C, axis=-1)
		dy = np.repeat(np.expand_dims(dy, axis=-1), C, axis=-1)

	# interpolation
	out = (1-dx) * (1-dy) * img[iy, ix] + dx * (1 - dy) * img[iy, ix+1] + (1 - dx) * dy * img[iy+1, ix] + dx * dy * img[iy+1, ix+1]

	out = np.clip(out, 0, 255)
	out = out.astype(np.uint8)

	return out

# make image pyramid
def make_pyramid(gray):
	# first element
	pyramid = [gray]
	# each scale
	for i in range(1, 6):
		# define scale
		a = 2. ** i

		# down scale
		p = bl_interpolate(gray, ax=1./a, ay=1. / a)

		# add pyramid list
		pyramid.append(p)
		
	return pyramid

# Read image
img = cv2.imread("imori.jpg").astype(np.float)

gray = BGR2GRAY(img)

# pyramid
pyramid = make_pyramid(gray)

for i in range(6):
    cv2.imwrite("out_{}.jpg".format(2**i), pyramid[i].astype(np.uint8))
    plt.subplot(1, 6, i+1)
    plt.imshow(pyramid[i], cmap='gray')
    plt.axis('off')
    plt.xticks(color="None")
    plt.yticks(color="None")

plt.show()
    

3、结果