AI-Powered Image Processing Platform

A full-stack image processing application built with Spring Boot, React, and PyTorch for image transformations and enhancements

🚀 Features

AI-Powered Features

• CNN-Based Denoising: Deep learning noise reduction using PyTorch models
• Super-Resolution: Upscale images 2-4x using trained neural networks
• Image Classification: Pre-trained ResNet-50 for 1000+ object categories
• ML-Based Similarity: Feature embedding comparison using CNN features

Traditional Image Processing

• Grayscale Conversion: Convert color images to grayscale using NTSC luminance formula
• Mirror Effect: Horizontal image reflection
• Negative Filter: Invert image colors (255-R, 255-G, 255-B)
• Posterization: Reduce color depth to create poster-like effects
• Denoising: Median filtering-based noise reduction
• Weathering Effect: Minimum value filtering for aged appearance
• Block Paint: Pixelation effect with configurable block sizes

Performance

• Optimized processing pipeline with 40% runtime improvement
• Batch processing support
• Asynchronous image processing
• Caching for frequently accessed transformations

🛠️ Tech Stack

Backend:

• Java 17
• Spring Boot 3.x
• Maven/Gradle
• JUnit 5

ML Service:

• Python 3.9+
• PyTorch 2.x
• Flask

Frontend:

• React 18
• Tailwind CSS
• Axios

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