Gaussian Noise Explained in Image Processing
Gaussian Noise in image processing is one of the most important concepts for students learning Computer Vision, Digital Image Processing, and AI. In this video, you’ll learn what Gaussian Noise is, how noise affects digital images, and the simplest techniques used to remove noise from images.
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We explain how Gaussian Noise is added to an image using sigma values and why image intensity ranges matter when applying noise. Then, we move step-by-step into image denoising techniques using the Moving Average Filter and neighborhood pixel averaging.
📌 In this video, you will learn:
• What Gaussian Noise means in image processing
• How sigma controls noise intensity
• Why image ranges (0–255 vs 0–1) matter
• How Moving Average filtering works
• Basic image smoothing techniques
• Intro to image denoising in Computer Vision
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