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Introduction

Image stitching is the process of combining multiple images with overlapping sections to produce a single panoramic image. This technique has found widespread applications in various fields such as virtual reality, surveillance, and multimedia content creation. The seamless integration of multiple images into a cohesive panorama presents unique challenges in terms of image alignment, blending, and distortion correction. In this thesis, we explore the techniques and algorithms used in image stitching for panorama generation.

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

2. Literature Review
2.1 Introduction to Image Stitching
2.2 Alignment Techniques
2.3 Feature Detection and Matching
2.4 Image Blending
2.5 Distortion Correction
2.6 Automated Panorama Generation
2.7 Evaluation Metrics
2.8 Challenges and Limitations
2.9 Recent Advances in Image Stitching
2.10 Comparison of Image Stitching Algorithms

3. System Design and Methodology
3.1 Introduction
3.2 Data Acquisition
3.3 Image Preprocessing
3.4 Feature Extraction
3.5 Image Alignment
3.6 Blending Approach
3.7 Distortion Correction
3.8 Panorama Generation
3.9 Evaluation Methodology
3.10 Performance Optimization

4. System Implementation
4.1 Introduction
4.2 Software Tools and Libraries
4.3 Data Collection and Dataset Preparation
4.4 Algorithm Implementation
4.5 Integration of Modules
4.6 User Interface Design
4.7 Testing and Validation
4.8 Performance Analysis
4.9 Results Interpretation
4.10 Error Handling and Debugging

5. Conclusion and Summary
5.1 Summary of Findings
5.2 Achievements of the Study
5.3 Contributions to the Field
5.4 Future Research Directions
5.5 Conclusion

Thesis Overview:

Image stitching for panorama generation is a complex process that involves blending multiple images to create a seamless panoramic view. This thesis explores the various techniques and algorithms used in image stitching, including image alignment, feature extraction, blending, and distortion correction. The literature review provides an in-depth analysis of existing image stitching methods, highlighting their strengths and weaknesses. The system design and methodology chapter details the steps involved in the image stitching process, from data acquisition to panorama generation. The system implementation chapter outlines the software tools and libraries used, as well as the implementation and testing of the image stitching algorithm. The conclusion and summary chapter summarizes the findings of the study, discusses its contributions to the field, and suggests future research directions.

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