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Introduction

Image quality assessment and enhancement play a crucial role in various fields such as medical imaging, surveillance systems, and digital photography. The quality of an image is subjective and can be influenced by various factors such as lighting conditions, resolution, noise, and compression artifacts. Therefore, it is essential to develop objective metrics and techniques to assess and enhance the quality of images.

Chapter 1: Introduction
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

Chapter 2: Literature Review
2.1 Overview of image quality assessment methods
2.2 Objective metrics for image quality assessment
2.3 Subjective evaluation of image quality
2.4 Image enhancement techniques
2.5 Noise reduction methods
2.6 Image sharpening algorithms
2.7 Image restoration approaches
2.8 Compression artifact removal techniques
2.9 Deep learning for image quality assessment and enhancement
2.10 Recent advancements in image quality assessment and enhancement

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Image quality evaluation metrics
3.4 Image enhancement algorithms
3.5 Experimental setup
3.6 Performance evaluation criteria
3.7 Data analysis techniques
3.8 Ethical considerations

Chapter 4: Discussion of Findings
4.1 Evaluation of image quality assessment methods
4.2 Comparison of image enhancement techniques
4.3 Impact of different factors on image quality
4.4 Practical implications of the findings
4.5 Recommendations for future research

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contributions to the field
5.3 Implications for practice
5.4 Limitations of the study
5.5 Recommendations for further research

Thesis Overview: Image Quality Assessment and Enhancement

The field of image quality assessment and enhancement is a critical area of research that has applications in various domains such as digital photography, medical imaging, and surveillance systems. This thesis aims to provide a comprehensive overview of objective metrics and techniques for assessing and enhancing image quality.

Chapter 1 provides an introduction to the topic, including the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter 2 presents a detailed literature review of image quality assessment methods, image enhancement techniques, and recent advancements in the field.

Chapter 3 outlines the research methodology, including research design, data collection methods, image quality evaluation metrics, enhancement algorithms, experimental setup, performance evaluation criteria, data analysis techniques, and ethical considerations. Chapter 4 discusses the findings of the study, including the evaluation of image quality assessment methods, comparison of enhancement techniques, impact of different factors on image quality, practical implications, and recommendations for future research.

In conclusion, Chapter 5 summarizes the key findings, contributions to the field, implications for practice, limitations of the study, and recommendations for further research. Overall, this thesis aims to contribute to the advancement of image quality assessment and enhancement techniques for various applications.

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