Algorithm Unrolling for Signal and Image Processing

In this seminar, we will explore the fundamental concepts of algorithm unrolling, its origins in sparse coding, and its rapid expansion into various domains, with special emphasis on image processing and computer vision. We will discuss key theoretical insights, recent advancements, and the advantages of unrolled networks over conventional deep learning approaches. Additionally, we will highlight current limitations and promising research directions in this rapidly evolving field.