The first section of the book is a comprehensive overview of digital video-processing techniques, beginning with an introduction to the field in Chapter 1, and including topics such as video sampling, motion estimation and tracking, video enhancement, stabilization, and segmentation. Following the introductory chapter, Chapter 2 covers the basic ideas of sampling and interpolation of time-varying imagery, such as video signals. Chapter 3 provides a discussion of motion from a perspective of video processing and compression, focusing on methods for motion detection and motion estimation (five algorithms are described in the text, based on various models, estimation criteria, and search strategies). Chapter 4 describes methods for enhancing and restoring corrupted video and image sequences, including detection and removal of impairments such as noise, coding artifacts, blotches, scratches, vinegar syndrome, flicker, and moiré. The techniques and tools described in Chapter 4, while focused on the detection and removal of the aforementioned impairments, are general in nature and can be used to develop enhancement and restoration methods for other types of degradation.