# Skills & Algorithmic Capability

## Module 1: Intensity Transformations
- **Negative Transform:** Implementing $s = L - 1 - r$ [3].
- **Gamma Correction:** Implementing $s = c \cdot r^\gamma$ for monitor correction or detail expansion [4, 14].
- **Piecewise-Linear:** Contrast stretching and bit-plane slicing to isolate image details [15, 16].

## Module 2: Histogram Processing
- **Global Equalization:** Spreading intensity distributions using Cumulative Distribution Functions (CDF) [5, 17].
- **Local Enhancement:** Computing histograms over sliding $n \times n$ neighborhoods to reveal obscured small-area details [6, 18].

## Module 3: Spatial Filtering
- **Smoothing (Low-pass):** Box filters, weighted averages, and **Median Filters** for Salt-and-Pepper noise reduction [7, 9, 10, 19].
- **Sharpening (High-pass):**
    - **Laplacian:** Using second-order derivatives to highlight fine detail [14, 20, 21].
    - **High-boost Filtering:** Combining original images with unsharp masks using an amplification factor $A$ [13, 20].
    - **Gradient Operators:** Implementing **Sobel** and **Roberts** masks for edge detection [22-24].

## Module 4: Full-Stack Integration
- **Backend:** Building REST APIs with Django/OpenCV.
- **Frontend:** Creating interactive UI with React, Tailwind CSS, and synchronized zoom viewports.
- **Task Management:** Offloading heavy $35 \times 35$ mask operations to Celery workers [9].