Try blurring the image with opencv2

Purpose

Because of the article the other day, I became a little interested in image processing. However, the last time I touched mathematics was the final exam of high school 3. Moreover, 2 points. There were some things that I couldn't understand, but first I wrote the code to try it out.

First of all, installation and preparation of images

opencv2 seems to be a module for image processing. So it seems that I can't find it even if I do "pip install open cv2" easily. Apparently this is the correct one.

$ pip install opencv-python

The blurred image uses a country-like image of free material as an eye candy.

inaka.jpg

Let's blur this guy.

code

Let's write the code.

Import part + image reading

main.py


import cv2

#Load image
image = cv2.imread("inaka.jpg ")

(Supplement) If you want to convert from BGR to RGB

This opencv2 seems to express the image in BGR. And matplotlib, a library that can be used to save and draw processed images, is in RGB format. If you use matplotlib, ignore the differences here and proceed! Lol

new_image.jpg

So, when converting from BGR to RGB, do this. This time, the processed image is not passed to matplotlib, so it is unnecessary.

main.py


image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

Blur

It's finally time to start blurring. That said, just call the method.

main.py


blurr_image = cv2.GaussianBlur(image, (5, 5), 0)

This Guassian Blur, I didn't quite understand the argument. The first argument is an image object, the second argument is a numeric array called a kernel, and the third argument seems to be the standard deviation. It all sounds cosmic to me. I should have studied properly.

Export image

Now export the completed image.

main.py


cv2.imwrite("new_image.jpg ", blurr_image)

Code final form

The whole code looks like this.

main.py


import cv2

image = cv2.imread("inaka.jpg ")
blurr_image = cv2.GaussianBlur(image, (5, 5), 0)
cv2.imwrite("new_image.jpg ", blurr_image)

I will check

It's changed ...?

new_image.jpg

I tried playing with Gaussian Blur's arguments a little bit, but I couldn't grasp the rules and gave up today because I didn't have much time.

Gori push breakthrough

As an aside, I hate glasses because my eyes are too bad, and I'm afraid of contact lenses, so I can't put them in. Everything looks blurry from usual. I don't know at all whether it really blurred me. Perhaps the above image is also blurred, but I couldn't feel it, so I thought I'd turn it about 100 times repeatedly (I think it's definitely wrong).

main.py


import cv2
image = cv2.imread("inaka.jpg ")

for i in range(1,100):
    image = cv2.GaussianBlur(image, (5, 5), 0)

cv2.imwrite("new_image.jpg ", image)

I feel like it's blurred properly. new_image.jpg

By the way, even if I increased the number of repetitions any more, the degree of blur did not increase dramatically. I feel like there was someone who was familiar with the juniors who left the company, so I'd like to ask.

Conclusion

・ Image blur can be realized with opencv2 ・ I don't know how to use Guassian Blur, but it looks like it after repeating the muddy blurring process.

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