gamma-image

Introduction

The "gamma-image" project aims to develop an application that enhances images by increasing their resolution, repairing old images, and converting old images into colorful versions. This application is intended for general personal use.

System Overview

The gamma-image application will provide users with tools to enhance the quality of their images. The system will focus on three primary functionalities: enhancing image resolution, repairing old or damaged images, and converting black-and-white images into color. The application will be user-friendly and designed for personal use, ensuring ease of access and operation.

Functional Requirements

• As a User, I should be able to upload an image to the application.
• As a User, I should be able to enhance the resolution of an uploaded image.
• As a User, I should be able to repair old or damaged images to improve their quality.
• As a User, I should be able to convert black-and-white images into colorful images.
• As a User, I should be able to download the enhanced images.

User Personas

• General User: Individuals looking to enhance personal images for personal use. They may not have technical expertise and require a simple, intuitive interface.

Core User Flows

1. Image Enhancement Flow:
   • User uploads an image.
   • User selects the enhancement option (resolution, repair, or colorization).
   • System processes the image based on the selected option.
   • User previews the enhanced image.
   • User downloads the enhanced image.

Visuals Colors and Theme

• primary: #3A5FCD (a deep blue for brand identity)
• primary_light: #7A9DFD (a lighter blue for hover states)
• secondary: #FF6F61 (a coral hue for emphasis and links)
• accent: #FFD700 (a vibrant gold for CTAs and active states)
• highlight: #FFA500 (an orange for notifications and active indicators)
• bg: #F5F5F5 (a light gray for the page background)
• surface: rgba(255, 255, 255, 0.9) (a white card/panel background)
• text: #333333 (a dark gray for primary text)
• text_muted: #777777 (a softer gray for secondary text)
• border: rgba(200, 200, 200, 0.5) (a subtle gray for borders)

Signature Design Concept

The homepage of gamma-image will feature an interactive "Image Transformation Canvas." Users will see a large, central canvas where they can drag and drop images. As images are uploaded, they will animate into a "before and after" split view, allowing users to slide a bar to compare the original and enhanced versions in real-time. This interactive element will use framer-motion for smooth transitions and animations, providing a dynamic and engaging user experience.

Interaction Model & Motion Direction

The landing page will employ a "parallax" interaction model, creating a layered depth effect as users scroll. Decorative elements like floating image fragments and color splashes will move at different speeds, enhancing the visual storytelling. Internal pages will maintain a "static" interaction model for clarity and ease of use.

Non-Functional Requirements

• The application should process images quickly to ensure a smooth user experience.
• The system must be reliable and handle multiple image enhancements without crashing.
• The application should be accessible and easy to use for non-technical users.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MongoDB
• AI Models: Google Nano banana for image generation
• AI Tools: Litellm for LLM Routing
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The application is intended for personal use, so it does not require enterprise-level security or scalability.
• Users will have internet access to use the application.
• The application will support common image formats such as JPEG, PNG, and BMP.

Glossary

• Enhancement: Improving the quality or resolution of an image.
• Repair: Fixing damaged or degraded images to restore their original quality.
• Colorization: Adding color to black-and-white images to make them appear as if they were originally taken in color.