A comprehensive guide covering history, techniques, datasets, algorithms, tools, real-world applications, and final year project ideas for image reconstruction using deep learning. Table of Contents Introduction History and Evolution of Image Reconstruction Types of Image Reconstruction How Deep Learning Transformed Image Reconstruction Top Datasets for Image Reconstruction Popular Algorithms and Architectures Evaluation Metrics Explained Tools and Frameworks for Image Reconstruction Real-World