平滑 Resources

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Smoothing and Sharpening (Edge Detection) in Digital Image Processing. Includes: 1. Adding salt-and-pepper and Gaussian noise. 2. Smoothing noise-contaminated images using neighborhood averaging, median filtering, and K-nearest neighbor averaging methods. 3. Sharpening images using Roberts gradient, Sobel operator, and Laplacian operator methods with comparative result analysis. Accompanied by source image and processed result screenshots with implementation code insights.

MATLAB 234 views Tagged
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The Non-Local Means (NLM) algorithm for image denoising differs fundamentally from local mean filtering approaches. Unlike traditional methods that average pixels within a local neighborhood of the target pixel, NLM calculates weighted averages across all image pixels based on similarity measures between pixel neighborhoods. This approach preserves finer image details while reducing noise, resulting in superior sharpness retention compared to local mean algorithms. Implementation typically involves patch comparison, distance metric computation, and weighting function application.

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