📸 Image Processor App

The Image Processor App is a Java-based application that allows users to apply a variety of image filters and effects on digital images. With a simple GUI, users can manipulate images in real-time using filters such as sepia, red-blue swap, and blue-green gradient, making it a fun and educational tool for learning image processing concepts.

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⚙️ Technologies Used

• Java – Core programming language for the application
• Swing – GUI framework for building the interactive interface
• Java AWT – For image handling and pixel manipulation

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🚀 Features

• Load and display images
• Apply built-in image filters:
  • Sepia
  • Red-Blue Swap
  • Blue-Green Gradient
• Save the processed image
• Real-time filter preview
• Intuitive GUI for easy navigation

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✨ Shortcuts / Controls

Action	Shortcut / Button
Open Image	File → Open
Apply Sepia Filter	Filter → Sepia
Apply Red-Blue Swap	Filter → Red-Blue Swap
Apply Blue-Green Gradient	Filter → Blue-Green Gradient
Save Image	File → Save

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📍 The Process

1. Planning: Determined which filters to implement and designed the GUI layout.
2. Implementation: Wrote Java code to manipulate the 2D pixel array for each filter.
3. Testing: Applied filters to various images to ensure accuracy and responsiveness.
4. Debugging: Fixed edge cases, like handling transparency and large images.

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📚 What I Learned

• How to manipulate images at the pixel level using Java
• Working with Swing and AWT for GUI design and image handling
• Translating mathematical filter algorithms into functional code
• Debugging and optimizing real-time image processing

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🌱 Overall Growth

Through this project, I strengthened my understanding of Java programming, GUI design, and image processing algorithms. I also developed problem-solving skills by translating abstract mathematical concepts into working software.

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💭 How It Can Be Improved

• Add more filters (e.g., grayscale, inversion, blur)
• Implement undo/redo functionality
• Support batch processing of images
• Enhance GUI with drag-and-drop image loading
• Optimize for very large images for better performance

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🚦 Running the Project

1. Clone or download the repository
2. Copy files into your chosen IDE
3. Run

▶️ Video Demonstration

Watch a short demo of the Image Processor App in action:

Click the image to watch the video on YouTube.