Jpeg#

class augraphy.augmentations.jpeg.Jpeg(quality_range=(25, 95), p=1)[source]#

Bases: Augmentation

Uses JPEG encoding to create compression artifacts in the image.

Parameters:

quality_range (tuple, optional) – Pair of ints determining the range from which to sample the compression quality.
p (float, optional) – The probability that this Augmentation will be applied.

Overview#

The Jpeg augmentation Uses JPEG encoding to create JPEG compression artifacts in the image.

Initially, a clean image with single line of text is created.

Code example:

# import libraries
import cv2
import numpy as np
from augraphy import *


# create a clean image with single line of text
image = np.full((500, 1500,3), 250, dtype="uint8")
cv2.putText(
    image,
    "Lorem ipsum dolor sit amet, consectetur adipiscing elit",
    (80, 250),
    cv2.FONT_HERSHEY_SIMPLEX,
    1.5,
    0,
    3,
)

cv2.imshow("Input image", image)

Clean image:

Example 1#

In this example, a Jpeg augmentation instance is initialized and the quality is set to range of 5 to 10% (5,10) of original image quality.

Code example:

jpeg_5 = Jpeg(quality_range=(5, 10))

img_jpeg_5 = jpeg_5(image)
cv2.imshow("jpeg_5", img_jpeg_5)

Augmented image:

Example 2#

In this example, a Jpeg augmentation instance is initialized and the quality is set to range of 50 to 55% (90,95) of original image quality.

Code example:

jpeg_50 = Jpeg(quality_range=(50, 55))

img_jpeg_50 = jpeg_50(image)
cv2.imshow("jpeg_50", img_jpeg_50)

Augmented image: