Denoising-Smoothing-Blurring-Sharpening

non-linear classical approach to denoising, smoothing, blurring and sharpening using median and bilateral filters

Supports GRAYSCALE and RGB images, and uses clamping

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Denoising

Original	Median	Bilateral

Sharpening

Original	sharpend

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Features

• Median Filter: Strong noise reduction (especially salt-and-pepper)
• Bilateral Filter: Edge-preserving denoising
• Unsharp Masking: Sharpening via nonlinear blur subtraction
• Grayscale and RGB Support

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Parameters to Tune

Parameter	Description
Kernel Size	Size of the filtering window (e.g., 3×3, 5×5)
Sigma Intensity	How much pixel value difference affects bilateral weighting (range filter)
Sigma Spatial	How much spatial distance affects bilateral weighting (domain filter)
Alpha (Sharpen)	Controls sharpening strength (0 to 1)

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How to Use

1. Load your image data
2. Apply filters, for Example:

   unsigned char* output = bilateral_filter(img, width, height, channels, kernel_size, sigma_spatial, sigma_intensity);
   unsigned char* sharpened = Sharpen(img, channels, height, width, kernel_size, alpha);
   

3. Save results and enjoy :)

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Developed by Mohammed Yasser Mohammed

email : [email protected]