Assignment_4.md

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🖼️ Image Blurring and Filtering App

🎯 Objective

Build an interactive CLI or Streamlit tool that allows users to upload an image, apply blurring or sharpening filters, and view/download the processed image.

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🔧 Instructions

1. Ask user:

"What would you like to do with the image?"

Choose one of the following options:

• 1. Apply Gaussian Blur

• 2. Apply Median Blur

• 3. Apply Sharpening Filter

• 4. View Original Image

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🌫️ If Option 1 Selected: Apply Gaussian Blur

User Interface:

• Ask user to upload an image or provide file path (CLI).

• Ask for:

  • Kernel size (x, y) — must be odd (e.g., (3,3), (9,9), (21,21))

  • Sigma — strength of blur (e.g., 0 to 5)

Actions:

• Apply Gaussian Blur using:

  cv2.GaussianBlur(img, (kernel_x, kernel_y), sigma)

• Display the blurred image.

• Offer Download option.

📌 Note: Gaussian Blur smoothens the image by averaging pixel values around the center pixel.

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🎯 If Option 2 Selected: Apply Median Blur

User Interface:

• Ask user to upload an image or provide file path (CLI).

• Ask for:

  • Kernel size — must be odd (e.g., 3, 5, 7)

Actions:

• Apply Median Blur using:

  cv2.medianBlur(img, kernel_size)

• Display the denoised (median-blurred) image.

• Offer Download option.

📌 Note: Median Blur is great for removing salt-and-pepper noise by replacing pixel with the median of surrounding values.

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🎯 If Option 3 Selected: Apply Sharpening Filter

User Interface:

• Ask user to upload an image or provide file path (CLI).

• Ask for:

  • ddepth — depth of output image (use -1 to retain original)

Actions:

• Define sharpening kernel:

  kernel = np.array([[0, -1, 0],
                     [-1, 5, -1],
                     [0, -1, 0]])
  sharpened_img = cv2.filter2D(src, ddepth, kernel)

• Display the sharpened image.

• Offer Download option.

📌 Note: Sharpening enhances edges and increases image contrast by boosting center pixel intensity.

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🖼️ If Option 4 Selected: View Original Image

• Simply show the uploaded image without any processing.

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📄 Solution & 🌐 App