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doan_multimedia_computing's Introduction

Project: Multimedia Computing

HUFFMAN CODING

How to run:

  • python HuffmanCompress.py InputFile OutputFile

  • python HuffmanDecompress.py InputFile OutputFile

Ex: python HuffmanCompress test1.txt compress1.txt


Project Struct:

multi_1

And let's see what we've defined for a tree inneed:

capture


Theory:

1. Huffmancoding:

Ref: https://en.wikipedia.org/wiki/Huffman_coding

  • Huffman code tree: contain Node, InternalNode, and Leaf, represent a Huffman code tree. The leaves represent symbols. The path to a leaf represents the bit string of its Huffman code.

2. Canoncial Code:

Ref: https://en.wikipedia.org/wiki/Canonical_Huffman_code

  • Converts an arbitrary CodeTree to a canonical code.

Reference:

  1. IO Stream solution:

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