A Survey of Blur Detection and Sharpness Assessment Methods

This book provides an in-depth exploration of blur detection and sharpness assessment methods, highlighting their importance in image processing and quality evaluation.

In the realm of image processing, A Survey of Blur Detection and Sharpness Assessment Methods delves into the complexities of blur effects on digital images. It explores how blurring can arise from various sources, such as defocus blur caused by objects at different depths, motion blur from moving subjects or cameras, and atmospheric turbulence. The book emphasizes the omnipresence of blur in natural images and the growing demand for high-quality visuals in our digital age. As we produce vast amounts of digital content daily, the need for effective image quality assessment becomes increasingly crucial.

The text discusses the significance of automatic estimation of sharpness and blurriness, highlighting its applications in depth estimation, image quality assessment, and information retrieval. It also touches upon the artistic use of blur in photography and cinematography, where techniques like bokeh are employed to create aesthetically pleasing effects. In this context, the book presents a balanced view of both intentional and unintentional blur, providing insights into how these effects can enhance or detract from visual experiences.

Furthermore, A Survey of Blur Detection and Sharpness Assessment Methods examines the challenges posed by image noise and artifacts on algorithm performance, particularly in tasks such as face detection, image saliency detection, and video tracking. The book underscores the importance of both subjective and objective quality metrics, advocating for a comprehensive understanding of image quality assessment to ensure the effectiveness of various image processing algorithms.