OpenCV 3 Computer Vision with Python Cookbook

How to do it...

Here are the steps for this recipe:

1. First, read the image:

img = cv2.imread('../data/Lena.png')

2. Save the image in PNG format without losing quality, then read it again to check whether all the information has been preserved during writing onto the disk:

# save image with lower compression—bigger file size but faster decodingcv2.imwrite('../data/Lena_compressed.png', img, [cv2.IMWRITE_PNG_COMPRESSION, 0])# check that image saved and loaded again image is the same as original onesaved_img = cv2.imread(params.out_png)assert saved_img.all() == img.all()

3. Save the image in the JPEG format:

# save image with lower quality—smaller file sizecv2.imwrite('../data/Lena_compressed.jpg', img, [cv2.IMWRITE_JPEG_QUALITY, 0])