noble-watermark

Introduction

The noble-watermark project is designed to provide users with a powerful tool for removing watermarks from images in batch mode. This project is particularly tailored for personal use, allowing users to efficiently process large volumes of images while also offering additional features such as image quality adjustments and resizing options.

System Overview

The noble-watermark system is a desktop application that enables users to remove watermarks from multiple images simultaneously. It is designed to be user-friendly and efficient, catering to individuals who frequently work with large sets of images. The system supports batch processing, ensuring that users can handle numerous images in one go, and includes features for adjusting image quality and resizing images post-processing.

Functional Requirements

• As a User, I should be able to remove watermarks from a batch of photos at a time.
• As a User, I should be able to adjust the image quality after removing watermarks.
• As a User, I should be able to resize images after removing watermarks.

User Personas

• User: An individual who frequently works with large volumes of images and requires an efficient tool to remove watermarks, adjust image quality, and resize images.

Visuals Colors and Theme

• primary: #1A73E8 (a deep blue representing trust and reliability)
• primary_light: #E8F0FE (a light blue for hover states and secondary UI)
• secondary: #FF6F61 (a coral hue for headlines and emphasis)
• accent: #FFD700 (a vibrant gold for CTAs and active states)
• highlight: #FFA500 (a warm orange for hover states and notifications)
• bg: #FFFFFF (a clean white background)
• surface: rgba(240, 240, 240, 0.8) (a light grey for card/panel backgrounds)
• text: #333333 (a dark grey for primary text)
• text_muted: #777777 (a softer grey for secondary text and labels)
• border: rgba(200, 200, 200, 0.5) (a subtle grey for borders)

Signature Design Concept

The noble-watermark homepage will feature an interactive "Image Carousel" concept. Users will be greeted with a dynamic carousel of sample images that demonstrate the watermark removal process. As users hover over each image, the watermark will fade away, revealing the clean image underneath. This interactive element will be built using framer-motion for smooth transitions and hover effects. Users can click on any image to see a detailed before-and-after comparison, enhancing the interactive experience and showcasing the tool's effectiveness.

Interaction Model & Motion Direction

The landing page will utilize a "parallax" interaction model, creating a layered depth effect as users scroll through the page. Decorative elements such as floating image thumbnails and subtle animations will translate at different speeds, providing a visually rich first impression. Internal pages, such as settings and profile management, will adopt a "static" interaction model to prioritize layout clarity and reading speed.

Non-Functional Requirements

• The application should process images efficiently, with minimal delay in batch operations.
• The user interface should be intuitive and easy to navigate.
• The system should support high-resolution images without compromising performance.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB, using Alembic for migrations
• Local Orchestration: Docker, docker-compose

Assumptions and Constraints

• The application is assumed to be used primarily on desktop platforms.
• Users are assumed to have a basic understanding of image processing.
• The system is constrained by the processing power of the user's device.

Glossary

• Batch Processing: The ability to process multiple images simultaneously.
• Watermark: A semi-transparent logo or text overlaid on an image to prevent unauthorized use.
• Image Quality Adjustment: Modifying the resolution or clarity of an image.
• Resizing: Changing the dimensions of an image.