Sparse Modeling for Image and Vision Processing (Foundations and Trends

In recent years, the field of image and vision processing has witnessed a surge of interest in sparse modeling due to its ability to leverage less information for effective outcomes. This comprehensive exploration presents a detailed examination of various applications of sparse modeling, addressing both theoretical foundations and practical implementations. The authors, experts in their respective fields, delve into innovative approaches and methodologies that enhance the understanding of image data.

Through their collective insights, the work highlights the transformative potential of sparse representations, making complex visual tasks more accessible. By bridging multiple disciplines, it offers valuable perspectives on how sparse modeling can simplify challenges in visual perception, ultimately leading to advancements in computer vision technologies.