在Python中升级灰度图像

Upscaling of an image refers to enlarging the size of an image.

图像放大是指放大图像的大小。

In this program, we will be using two functions of OpenCV-python (cv2) module.. let's see their syntax and descriptions first

在此程序中，我们将使用OpenCV-python(cv2)模块的两个函数。.让我们首先查看它们的语法和描述。

1) imread():
It takes an absolute path/relative path of your image file as an argument and returns its corresponding image matrix.

1)imread()：
它以图像文件的绝对路径/相对路径作为参数，并返回其对应的图像矩阵。

If flag value is:

如果标志值为：

1: Loads a color image.
1 ：加载彩色图像。
0: Loads image in grayscale mode.
0 ：以灰度模式加载图像。
-1: Loads image as such including alpha channel.
-1 ：加载图像，包括alpha通道。

If the flag value is not given then show the original image, which path is given.

如果未给出标志值，则显示原始图像，并给出哪个路径。

2) imshow():
It takes window name and image matrix as an argument in order to display an image in a display window with a specified window name.

2)imshow()：
它以窗口名称和图像矩阵为参数，以便在具有指定窗口名称的显示窗口中显示图像。

Also In this program, we will be using one function of numpy module.

同样在此程序中，我们将使用numpy模块的一个功能。

median(): It takes array and returns the median of the array .

平均()：它接受array并返回array的中位数。

Also, in this program we are using the concept of array slicing

另外，在此程序中，我们使用数组切片的概念

Let, A is 1-d array:
A[start:stop:step]

设A为一维数组：
A [开始：停止：步骤]

start: Starting number of the sequence.
start：序列的起始编号。
stop: Generate numbers up to, but not including this number.
停止：生成不超过此数字的数字，但不包括此数字。
step: Difference between each number in the sequence.
步骤：序列中每个数字之间的差。

Example:

例：

    A = [1,2,3,4,5,6,7,8,9,10]
print(A[ 1: 5])
Output:
[2,3,4,5]

用于在Python中放大灰度图像的Python程序 (Python program for upscaling the grayscale image in Python)

# open-cv library is installed as cv2 in python
# import cv2 library into this program
import cv2
# import numpy as np name
import numpy as np
# read an image using imread() function of cv2
# we have to  pass only the path of the image
img = cv2.imread(r'C:/Users/user/Desktop/pic6.jpg',0)
# displaying the image using imshow() function of cv2
# In this : 1st argument is name of the frame
# 2nd argument is the image matrix
cv2.imshow('original image',img)
# upscaling code
# Upscaling the image x,y times along row and column
x,y = 2, 2
# here image is of class 'uint8', the range of values  
# that each colour component can have is [0 - 255]
# create a zero matrix of order of x,y times
# of previous image of 3-dimensions
upscale_img = np.zeros((x*img.shape[0],y*img.shape[1]),np.uint8)
i, m = 0, 0
while m < img.shape[0] :
j, n = 0, 0
while n < img.shape[1]:
# We assign pixel value from original image matrix to the
# new upscaling image matrix in alternate rows and columns
upscale_img[i, j] = img[m, n]
# increment j by y times
j += y
# increment n by one
n += 1
# increment m by one
m += 1
# increment i by x times
i += x
cv2.imshow('upscaling image',upscale_img)

Output

输出量