DIP Lecture 16 Lossy image compression

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ECSE-4540 Intro to Digital Image Processing • Rich Radke, Rensselaer Polytechnic Institute • Lecture 16: Lossy image compression (4/6/15) • 0:00:21 Lossy image compression • 0:02:14 Block transform coding diagram • 0:06:10 Which transform to use? • 0:08:02 The Discrete Cosine Transform • 0:10:36 Zonal coding • 0:12:46 Threshold coding • 0:18:09 How JPEG works • 0:18:19 The normalization matrix • 0:19:45 Example of applying the normalization matrix • 0:24:47 Adjusting JPEG quality • 0:25:46 Real image example • 0:32:32 Further details • 0:39:43 Predictive coding • 0:44:18 Block diagram • 0:46:11 Residuals have lower entropy • 0:47:40 Autoregressive model • 0:50:26 Quantizing inside the predictor • 0:54:20 Video compression • 0:55:35 Block-based motion compensation • 0:56:48 MPEG terminology (GOP, I/P/B frames) • Follows Section 8.2.8 of the textbook (Gonzalez and Woods, 3rd ed.).

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