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Leer Noise Reduction and Smoothing | Image Processing with OpenCV
Computer Vision Course Outline
course content

Cursusinhoud

Computer Vision Course Outline

Computer Vision Course Outline

1. Introduction to Computer Vision
2. Image Processing with OpenCV
3. Convolutional Neural Networks
4. Object Detection
5. Advanced Topics Overview

book
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).

Taak

Swipe to start coding

Apply two types of blur on the noisy image of a puppy: noisy 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.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 2. Hoofdstuk 4
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book
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).

Taak

Swipe to start coding

Apply two types of blur on the noisy image of a puppy: noisy 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.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 2. Hoofdstuk 4
Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
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