Kernel Filter Applier

🔍 Overview

• Load images (JPG, PNG, etc.)
• Apply various kernel filters (blur, sharpen, edge detection, etc.)
• Preview transformations in real-time
• Save processed images

• Java 8+
• Swing for the graphical interface
• Java 2D API for image processing

🛠️ Features

Core Functionality

• 🖼️ Image loading/saving functionality
• ⚙️ Predefined kernel filters:
  • Gaussian blur
  • Sharpen
  • Edge detection
  • Emboss
  • Box blur
• ✏️ Custom kernel input (3x3 or 5x5 matrices)

Technical Highlights

• Pure Java implementation (no external dependencies)
• Efficient pixel manipulation
• Real-time preview of filters
• Clean OOP design

📥 Installation

1. Requirements:
   • Java JDK 8 or later
   • Maven (for building from source)
2. Build & Run:

git clone https://github.com/Abdullahon2006/kernel_filter_applier.git
cd kernel_filter_applier
mvn package
java -jar target/kernel-filter-applier.jar

🖥️ Usage Example

// Example kernel application
float[] edgeDetectionKernel = {
    -1, -1, -1,
    -1,  8, -1,
    -1, -1, -1
};

BufferedImage processed = KernelApplicator.applyKernel(
    originalImage, 
    edgeDetectionKernel, 
    3, 3
);

🧠 Educational Value

• Java Swing GUI development
• Image processing fundamentals
• Convolution algorithms
• Matrix operations on pixels

📜 License