About Project » History » Revision 2
Revision 1 (Pratama Kwee BRANDON, 10/29/2025 05:13 PM) → Revision 2/5 (Sandeep GANESAN, 10/30/2025 09:02 AM)
h1. About Project h2. I. Project Overview Our project focuses on developing a *high-quality image composition system* that seamlessly merges two or more projected images into a single, visually consistent display. Using **Python** and **OpenCV**, we employ advanced image processing techniques such as *gamma correction*, *alpha blending*, and *intensity modification* to eliminate brightness and color mismatches between overlapping regions. The project is organized into sub-teams responsible for software development, UML design, testing, and wiki management. Each member plays a key role in ensuring collaborative progress and well-structured documentation. By integrating **Doxygen** for code documentation and **Redmine** for project tracking, we aim to produce a well-documented, scalable, and reproducible system for real-time image correction and blending. --- h2. II. Motivation & Problem Statement When using multiple projectors to display a single image, visible seams or brightness inconsistencies often occur in overlapping regions. These inconsistencies degrade image quality and make the final projection appear uneven. Manual calibration methods are time-consuming and prone to human error. Our motivation is to develop a software-based approach that automates the alignment and blending process, ensuring seamless image projection. By leveraging the **OpenCV** library, the system can detect overlapping areas, apply brightness corrections, and blend images smoothly—eliminating the need for costly hardware-based calibration systems. --- h2. III. Objectives * To develop an automated image blending system capable of merging two or more projections into a single seamless image. * To apply *gamma correction* and *intensity modification* techniques to balance color and brightness across overlapping regions. * To implement *alpha blending* for smooth transitions between images. * To design and visualize the system architecture using **UML diagrams**. * To document the entire project using **Doxygen** and manage tasks via **Redmine**. --- h2. IV. Key Features (Add later) h2. features V. System Architecture (Add later) h2. VI. Methodology and Development Process (Add later) h2. process a. Requirement analysis b. Testing and Validation VII. Technology Stack * *Python (OpenCV, NumPY)* stack * *Doxygen* * *Redmine* * *Astah* h2. VIII. Application & Impact (Add later) h2. impact IX. Limitation & Future Enhancements (Add later) Enchantments