By Wu F.
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To efficiently achieve it, there are two core technologies needed: source coding and channel coding. Source usually contains a certain redundancy and thus directly transmitting it would cost more channel bandwidth than what is really needed. In the transmitter, source coding tries to remove the redundancy from the source when possible, by using various compression technologies. The output after source coding should be randomly distributed bits. Since the channel is noisy, the compressed bits will be corrupted by adding channel noise.
Thomas’s book Elements of Information Theory , which is a comprehensive book about Shannon’s information theory. We do not pay much attention to either the completeness of the theory or the details of how to prove the theorems step by step. Instead, we try to highlight the core ideas behind the theory and make them more intuitively understood for further practical research on visual data compression and communication. The readers, who are interested in the entire information theory, can find information on this subject by Shannon  and Cover and Thomas .
We can observe that the reconstructed picture has some slight block artifacts because of compression. Although the input picture and the reconstructed picture look similar, the head in the input picture has a rotation with respect to the reconstructed picture. 2c shows the moving displacement of every input 8 × 8 block. It is a 2D MV, whose direction indicates the moving direction and magnitude is the moving distance. 2 An example of motion estimation and compensation. the corresponding blocks in the reconstructed picture toward the input picture.
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