By Wu F.
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Extra resources for Advances in visual data compression and communication
In Huffman coding, a binary tree of nodes is first created. The size is equal to the number of symbols to code, q. Initially, all nodes are leaf nodes containing the probabilities of the symbols they represent. The coding process essentially begins with the leaf nodes. A new node whose children are the two nodes with the smallest probability is created. The new node’s probability is equal to the sum of the children’s probabilities. With the previous two nodes merged into one node, they are no longer considered.
This Huffman tree produces the optimal code length. 2a. 2b. Therefore, the codewords for the symbols a0 , a1 , a2 , and a3 are “1,” “01,” “001,” and “000,” respectively. The shortest codeword “1” is assigned to the symbol a0 . Using Eq. 75 bits, which is exactly equal to the entropy. 2 Huffman coding. (a) The process of building a binary tree; (b) the designed Huffman codes. 2 Source Coding 9 they cannot adjust codeword lengths at fractional bit precision. In this case, Huffman codes are not optimal.
TV stations, TV receivers, DVD players, and other equipment are often designed to this standard. MPEG-2 is forward compatible with MPEG-1. , in frame sizes and data rates) can be decoded by MPEG-2 decoders. The VLC tables were extended in MPEG-2 for better compression performance in higher data rates and resolutions. In the TV industry, in order to reduce the amount of data each picture is separated into two fields: the top field, which is comprised of the odd numbered horizontal lines, and the bottom field, which is the even numbered lines.
Advances in visual data compression and communication by Wu F.