Read & Save Images - ( Image Basics with OpenCV )

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Syntax

# for reading an image
cv2.imread(filename, flags)

# for saving an image
cv2.imwrite(filename, image)

Example

import cv2

# read an image
img = cv2.imread('image.jpg')

# save an image
cv2.imwrite('new_image.jpg', img)

Output

The output depends on the actual image being read or saved. In the above example, the img variable stores the pixel values of the image and can be further processed as required. The cv2.imwrite() function saves the image to the specified file.

Explanation

OpenCV is a popular computer vision library used for processing images and videos. It supports a wide range of image formats and provides various functions for reading, displaying, and saving images.

To read an image using OpenCV, we use the cv2.imread() function which reads the contents of the specified file and returns the pixel values in the form of a NumPy array. The function takes in two arguments - the filename and an optional flag that specifies the image read mode. The filename can be the full path or just the name of the file if it's in the current directory.

To save an image to disk, we use the cv2.imwrite() function. This function takes in two arguments - the filename to save the image to and the image data to be saved.

Use

Reading and saving images is a fundamental task in computer vision and OpenCV provides simple and efficient functions for this purpose. Images can be read and saved in various formats, and the pixel values can be processed further using OpenCV functions and algorithms.

Important Points

• OpenCV provides functions for reading, displaying, and saving images
• The cv2.imread() function reads an image from disk and returns its pixel values as a NumPy array
• The function takes in two arguments - the filename and an optional flag that specifies the image read mode
• The cv2.imwrite() function saves an image to disk and takes in two arguments - the filename to save the image to and the image data to be saved

Summary

In conclusion, reading and saving images is a fundamental task in computer vision and OpenCV provides efficient functions for this purpose. The cv2.imread() function reads an image from disk and returns its pixel values, which can be further processed using OpenCV functions and algorithms. The cv2.imwrite() function saves an image to disk and takes in the filename and the image data to be saved. This forms the basis for a wide range of computer vision tasks such as image processing, object detection, and recognition, etc.