Blur Image using filter2d OpenCV Python | OpenCV Tutorial

In Python OpenCV Tutorial, Explained How to Blur image using cv2.filter2d() 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.filter2D(src, ddepth, kernel[, dst[, anchor[, delta[, borderType]]]]) -> dst

Parameters:
.   @param src input image.
.   @param dst output image of the same size and the same number of channels as src.
.   @param ddepth desired depth of the destination image, see @ref filter_depths "combinations"
.   @param kernel convolution kernel (or rather a correlation kernel), a single-channel floating point
.   matrix; if you want to apply different kernels to different channels, split the image into
.   separate color planes using split and process them individually.
.   @param anchor anchor of the kernel that indicates the relative position of a filtered point within
.   the kernel; the anchor should lie within the kernel; default value (-1,-1) means that the anchor
.   is at the kernel center.
.   @param delta optional value added to the filtered pixels before storing them in dst.
.   @param borderType pixel extrapolation method, see #BorderTypes
.   @sa  sepFilter2D, dft, matchTemplate

Blur Image using Filter2D with 3×3 kernel

#### OpenCV Video Tutorial Playlist: https://www.youtube.com/watch?v=-rm0P7A4Jbc&list=PLfP3JxW-T70G5FB9vcmT6T3xnmvFvqV7w ####

# Show Image
import cv2
import numpy as np

img_path = r"C:\Users\kashz\AI Life\AI Projects - IAIP, PTs (Web + Channel)\02 OpenCV\000 opencv tutorial\data\images\adult-beauty-blond-301298.jpg"

img = cv2.imread(img_path)
img = cv2.resize(img, (1280, 720))

cv2.imshow("Model Image", img)

cv2.waitKey(0)
cv2.destroyAllWindows()
one_mat_3_3 = np.ones((3,3), dtype=np.float32)/9
blur_img_3_3 = cv2.filter2D(img, -1, one_mat_3_3)


cv2.imshow("Blure image 3x3", blur_img_3_3)
cv2.imshow("Original Image", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using Filter2D with 5×5 kernel

one_mat_5_5 = np.ones((5,5), dtype=np.float32)/25
blur_img_5_5 = cv2.filter2D(img, -1, one_mat_5_5)


cv2.imshow("Blure image 5x5", blur_img_5_5)
cv2.imshow("Original Image", img)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using Filter2D with 10×10 kernel

# 10*10
one_mat_10_10 = np.ones((10,10), dtype=np.float32)/100

blur_img_10_10 = cv2.filter2D(img, -1, one_mat_10_10)

cv2.imshow("Original Image", img)
cv2.imshow("Blure Image using", blur_img_10_10)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using Filter2D with 50×50 kernel

# 50*50
one_mat_50_50 = np.ones((50,50), dtype=np.float32)/2500

blur_img_50_50 = cv2.filter2D(img, -1, one_mat_50_50)

cv2.imshow("Original Image", img)
cv2.imshow("Blure Image using", blur_img_50_50)

cv2.waitKey(0)
cv2.destroyAllWindows()

Blur Image using Filter2D with 100×100 kernel

# 100*100
one_mat_100_100 = np.ones((100,100), dtype=np.float32)/10000

blur_img_100_100 = cv2.filter2D(img, -1, one_mat_100_100)

cv2.imshow("Original Image", img)
cv2.imshow("Blure Image using", blur_img_100_100)

cv2.waitKey(0)
cv2.destroyAllWindows()

Show All Result in Single Windows(Image)

## Show All image Result in Single Windows(Image)

img = cv2.resize(img, (400, 350))
blur_img_3_3 = cv2.resize(blur_img_3_3, (400, 350))
blur_img_5_5 = cv2.resize(blur_img_5_5, (400, 350))
blur_img_10_10 = cv2.resize(blur_img_10_10, (400, 350))
blur_img_50_50 = cv2.resize(blur_img_50_50, (400, 350))
blur_img_100_100 = cv2.resize(blur_img_100_100, (400, 350))

cv2.putText(img, "Original", org=(20,40), fontFace=cv2.FONT_HERSHEY_PLAIN, fontScale= 2 , color=(0,0,255))
cv2.putText(blur_img_3_3, "3x3 Filter", org=(20,40), fontFace=cv2.FONT_HERSHEY_PLAIN, fontScale= 2 , color=(255,0,255))
cv2.putText(blur_img_5_5, "5x5 Filter", org=(20,40), fontFace=cv2.FONT_HERSHEY_PLAIN, fontScale= 2 , color=(255,0,255))
cv2.putText(blur_img_10_10, "10x10 Filter", org=(20,40), fontFace=cv2.FONT_HERSHEY_PLAIN, fontScale= 2 , color=(255,0,255))
cv2.putText(blur_img_50_50, "50x50 Filter", org=(20,40), fontFace=cv2.FONT_HERSHEY_PLAIN, fontScale= 2 , color=(255,0,255))
cv2.putText(blur_img_100_100, "100x100 Filter", org=(20,40), fontFace=cv2.FONT_HERSHEY_PLAIN, fontScale= 2 , color=(255,0,255))

img1_3 = np.hstack((img, blur_img_3_3, blur_img_5_5))
img2_3 = np.hstack((blur_img_10_10, blur_img_50_50,blur_img_100_100))

img3_6 = np.vstack((img1_3,img2_3))

cv2.imshow("1 original and 5 Blur Image", img3_6)
cv2.waitKey(0)
cv2.destroyAllWindows()

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