Image Blurring refers to making the image less clear or distinct. It is done with the help of various low pass filter kernels.
Advantages of blurring:
- It helps in Noise removal. As noise is considered as high pass signal so by the application of low pass filter kernel we restrict noise.
- It helps in smoothing the image.
- Low intensity edges are removed.
- It helps in hiding the details when necessary. For e.g. in many cases police deliberately want to hide the face of the victim, in such cases blurring is required.
Important types of blurring:
- Gaussian Blurring:Gaussian blur is the result of blurring an image by a Gaussian function. It is a widely used effect in graphics software, typically to reduce image noise and reduce detail. It is also used as a preprocessing stage before applying our machine learning or deep learning models.
E.g. of a Gaussian kernel(3×3)
- Median Blur: The Median Filter is a non-linear digital filtering technique, often used to remove noise from an image or signal. Median filtering is very widely used in digital image processing because, under certain conditions, it preserves edges while removing noise. It is one of the best algorithms to remove Salt and pepper noise.
- Bilateral Blur: A bilateral filter is a non-linear, edge-preserving, and noise-reducing smoothing filter for images. It replaces the intensity of each pixel with a weighted average of intensity values from nearby pixels. This weight can be based on a Gaussian distribution. Thus, sharp edges are preserved while discarding the weak ones.
Below is the Python code:
- What is Image Blurring
- Image Processing without OpenCV | Python
- Image Registration using OpenCV | Python
- Image Resizing using OpenCV | Python
- Image Steganography using OpenCV in Python
- Reading an image in OpenCV using Python
- Cartooning an Image using OpenCV - Python
- Image Translation using OpenCV | Python
- Image Pyramid using OpenCV | Python
- Log transformation of an image using Python and OpenCV
- OpenCV Python Program to blur an image
- Python | Detect Polygons in an Image using OpenCV
- Negative transformation of an image using Python and OpenCV
- Python | Detect corner of an image using OpenCV
- Python | OpenCV program to read and save an Image
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.