About Project » History » Revision 6
Revision 5 ( Yaroslav MAYDEBURA, 10/30/2025 04:01 PM) → Revision 6/31 (Pratama Kwee BRANDON, 11/05/2025 11:56 PM)
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h1. 💡 About Project
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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.
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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.
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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**.
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h2. IV. Key Features
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h2. V. System Architecture
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h2. VI. Methodology and Development Process
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a. Requirement analysis
b. Testing and Validation
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h2. VII. Technology Stack
* *Python (OpenCV, NumPy)*
* *Doxygen*
* *Redmine*
* *Astah*
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h2. VIII. Application & Impact
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h2. IX. Limitation & Future Enhancements
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