Blur Image Using cv2.blur() & cv2.boxFilter()OpenCV Python | OpenCV Tutorial

In Python OpenCV Tutorial, Explained How to Blur image using cv2.blur() and cv2.boxFilter() opencv function.

Get the answers of below questions:

  1. How do I blur an image in OpenCV?
  2. How do you blur an image in Python?
  3. Why do we blur image?
  4. How do you blur part of a picture?

Syntax:

cv2.blur(src, ksize[, dst[, anchor[, borderType]]]) -> dst
@brief Blurs an image using the normalized box filter.

Parameters: 

@param src input image; it can have any number of channels, which are processed independently, but .   the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F. .   
@param dst output image of the same size and type as src. .   
@param ksize blurring kernel size. .   
@param anchor anchor point; default value Point(-1,-1) means that the anchor is at the kernel .   center. .   
@param borderType border mode used to extrapolate pixels outside of the image, see #BorderTypes @sa  boxFilter, bilateralFilter, GaussianBlur, medianBlur
cv2.boxFilter(src, ddepth, ksize[, dst[, anchor[, normalize[, borderType]]]]) -> dst
The function smooths an image using the kernel:

Parameters:

@param src input image. .   
@param dst output image of the same size and type as src. .   
@param ddepth the output image depth (-1 to use src.depth()). .   
@param ksize blurring kernel size. .   
@param anchor anchor point; default value Point(-1,-1) means that the anchor is at the kernel .   center. .   
@param normalize flag, specifying whether the kernel is normalized by its area or not. .   @param borderType border mode used to extrapolate pixels outside of the image, see #BorderTypes @sa  blur, bilateralFilter, GaussianBlur, medianBlur, integral

Read & Show Image

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## Show Image

import cv2

img_path = r"D:\Indian AI Production\OpenCV\01 Opencv Tutorial\020 Blure Image\vivek_bindra.jpg"
img = cv2.imread(img_path)

cv2.imshow("Model", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using cv2.blur() with Kernel 3×3

img_blur_3 = cv2.blur(img, (3,3))

cv2.imshow("Model Blur", img_blur_3)
cv2.imshow("Model ", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using cv2.blur() with Kernel 50×50

img_blur_50 = cv2.blur(img, (50,50))

cv2.imshow("Model Blur", img_blur_50)
cv2.imshow("Model ", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using cv2.boxfilter() with Kernel 3×3

img_b_blur_3 = cv2.boxFilter(img, -1, (3,3))

cv2.imshow("Model Blur", img_b_blur_3)
cv2.imshow("Model ", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using cv2.boxfilter() with Kernel 3×3 without Normalization

img_b_blur_3 = cv2.boxFilter(img, -1, (3,3), normalize=False)

cv2.imshow("Model Blur normalize", img_b_blur_3)
cv2.imshow("Model ", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using cv2.boxfilter() with Kernel 50×50

img_b_blur_50 = cv2.boxFilter(img, -1, (50,50))

cv2.imshow("Model Blur", img_b_blur_50)
cv2.imshow("Model ", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Show All Blur Image

import numpy as np

img_blur_3 = cv2.resize(img_blur_3, (650, 400))
img_blur_50 = cv2.resize(img_blur_50, (650, 400))

img_b_blur_3 = cv2.resize(img_b_blur_3, (650, 400))
img_b_blur_50 = cv2.resize(img_b_blur_50, (650, 400))

#putText(img, text, org, fontFace, fontScale, color[, thickness[, lineType[, bottomLeftOrigin]]])
cv2.putText(img_blur_3, "blur 3x3", (10,50), cv2.FONT_HERSHEY_COMPLEX, 2, (255,0,55), 3)
cv2.putText(img_blur_50, "blur 50x50", (10,50), cv2.FONT_HERSHEY_COMPLEX, 2, (255,0,55), 3)
cv2.putText(img_b_blur_3, "box blur 3x3", (10,50), cv2.FONT_HERSHEY_COMPLEX, 2, (255,255, 0), 3)
cv2.putText(img_b_blur_50, "box blur 50x50", (10,50), cv2.FONT_HERSHEY_COMPLEX, 2, (255,255, 0), 3)


blurr_2_img = np.hstack((img_blur_3, img_blur_50))
filter_blur_2_img = np.hstack((img_b_blur_3, img_b_blur_50))

img_4 = np.vstack((blurr_2_img, filter_blur_2_img))

cv2.imshow("Show 4 Blur Image", img_4)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image in 2 Line

import cv2

cv2.imshow("Blur Image", cv2.blur(cv2.imread(r"C:\Users\kashz\AI Life\AI Projects - IAIP, PTs (Web + Channel)\02 OpenCV\000 opencv tutorial\data\images\girl-eye.jpg"), (50,50)))

cv2.waitKey(0)
cv2.destroyAllWindows()

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