Digital Video Processing — Tekalp

A. Murat Tekalp, 2nd Edition (Prentice Hall)

The 2-D image machinery carried into the time axis: multidimensional signals and sampling on a lattice, image filtering and restoration, motion estimation and optical flow (block matching, Horn–Schunk, Lucas–Kanade), video segmentation and tracking, motion-compensated filtering (deinterlacing, multi-frame noise reduction, super-resolution), and image/video compression (DCT/JPEG, wavelets, H.264/HEVC). Every chapter carries problem sets and MATLAB exercises. Read in Course 1 Sections 15 and 17 as the image → video extension of Gonzalez & Woods, and the theory behind Course 2’s video-frame-pipeline (9.5) and motion-estimation (9.6) labs.

Chapters

Exercises added as I work through each chapter.