OpenCV image quality
Code:
1) Compression method
cv2.imwrite('yahboomTest.jpg', img, [cv2.IMWRITE_JPEG_QUALITY, 50])
cv2.CV_IMWRITE_JPEG_QUALITY: Set the picture(.jpeg or .jpg) quality, value range is 0--100 (the larger the value, the higher the quality). Default value is 95
cv2.CV_IMWRITE_WEBP_QUALITY: Set the picture(.web) quality, value range is 0--100 (the larger the value, the higher the quality).
cv2.CV_IMWRITE_PNG_COMPRESSION: Set the picture(.png) quality, value range is 0--100 (the larger the value, the higher Compression ratio). Default value is 3.
import cv2
img = cv2.imread('yahboom.jpg',1)
cv2.imwrite('yahboomTest.jpg', img, [cv2.IMWRITE_JPEG_QUALITY, 50])
#1M 100k 10k 0-100 Lossy compression
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# 1 Lossy compression, 2 Transparency attribute
import cv2
img = cv2.imread('yahboom.jpg',1)
cv2.imwrite('yahboomTest.png', img, [cv2.IMWRITE_PNG_COMPRESSION,0])
# jpg 0 High compression ratio 0-100 png 0 Low compression ratio 0-9
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#bgr8 to jpeg format
import enum
import cv2
def bgr8_to_jpeg(value, quality=75):
return bytes(cv2.imencode('.jpg', value)[1])
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import ipywidgets.widgets as widgets
image_widget1 = widgets.Image(format='jpg', )
image_widget2 = widgets.Image(format='jpg', )
# create a horizontal box container to place the image widget next to eachother
image_container = widgets.HBox([image_widget1, image_widget2])
# display the container in this cell's output
display(image_container)
img1 = cv2.imread('yahboomTest.jpg',1)
img2 = cv2.imread('yahboomTest.png',1)
image_widget1.value = bgr8_to_jpeg(img1)
image_widget2.value = bgr8_to_jpeg(img2)
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