Course Content
Computer Vision Course Outline
Computer Vision Course Outline
Noise Reduction and Smoothing
Noise in images appears as unwanted graininess or distortion, often caused by low lighting, compression artifacts, or sensor limitations. Smoothing techniques help reduce noise while preserving important image details.
Gaussian Blurring (Smoothing Noise)
The Gaussian filter applies a weighted average to surrounding pixels, giving a natural-looking blur.
Median Blurring (Salt-and-Pepper Noise Removal)
The median filter replaces each pixel with the median value of its neighbors. This is effective for removing salt-and-pepper noise (random white and black pixels).
Swipe to start coding
Your task is to apply two types of blur on the noised image of a puppy:
It is to see how the effect differs.
- Kernel size for Gaussian Blur must be 15x15;
- Kernel size for Median Blur must be 5.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Noise Reduction and Smoothing
Noise in images appears as unwanted graininess or distortion, often caused by low lighting, compression artifacts, or sensor limitations. Smoothing techniques help reduce noise while preserving important image details.
Gaussian Blurring (Smoothing Noise)
The Gaussian filter applies a weighted average to surrounding pixels, giving a natural-looking blur.
Median Blurring (Salt-and-Pepper Noise Removal)
The median filter replaces each pixel with the median value of its neighbors. This is effective for removing salt-and-pepper noise (random white and black pixels).
Swipe to start coding
Your task is to apply two types of blur on the noised image of a puppy:
It is to see how the effect differs.
- Kernel size for Gaussian Blur must be 15x15;
- Kernel size for Median Blur must be 5.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Switch to desktop for real-world practiceContinue from where you are using one of the options below