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Fundamentals of Image Manipulation with Python

SmoothingSmoothing

In OpenCV, Gaussian Blur is a smoothing filter used to reduce noise and detail in an image. This filter is based on the Gaussian function, which is bell-shaped and diminishes as the distance from the center increases. The cv2.GaussianBlur() function applies this type of blur to an image.

The function requires three parameters:

  • the image to be blurred;
  • the kernel size (specified as a tuple of width and height);
  • the standard deviation in the x and y directions.

If the standard deviation is set to zero, it is calculated from the kernel size. The kernel size determines the area used to calculate the blur, while the standard deviation controls the amount of blur.

Task

  1. Apply Gaussian blue to the image "image1.jpg".

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 7
AVAILABLE TO ULTIMATE ONLY
course content

Course Content

Fundamentals of Image Manipulation with Python

SmoothingSmoothing

In OpenCV, Gaussian Blur is a smoothing filter used to reduce noise and detail in an image. This filter is based on the Gaussian function, which is bell-shaped and diminishes as the distance from the center increases. The cv2.GaussianBlur() function applies this type of blur to an image.

The function requires three parameters:

  • the image to be blurred;
  • the kernel size (specified as a tuple of width and height);
  • the standard deviation in the x and y directions.

If the standard deviation is set to zero, it is calculated from the kernel size. The kernel size determines the area used to calculate the blur, while the standard deviation controls the amount of blur.

Task

  1. Apply Gaussian blue to the image "image1.jpg".

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 7
AVAILABLE TO ULTIMATE ONLY
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