Description: ) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
-) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
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Author:ria |
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Description: The aim of this short workshop is to demonstrate the effectiveness of the JPEG encoding/decoding process using test data and test images. As explained in the lectures the major elements of the JPEG encoding process are the DCT, the non-uniform Quantisation matrix and variable run-length encoding.
Building an emulator of the JPEG encoding and decoding algorithm may appear a daunting task, but Matlab is well suited to such coding. Platform: |
Size: 93184 |
Author:jiang nan |
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Search - variable length coding using matlab