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When it comes to Huffman coding, storing the constructed Huffman tree for efficient decoding is a key consideration. This article delves into techniques for compressing the tree representation for compact output. Below is a detailed analysis of a proposed solution:
Instead of storing the actual frequencies, the method focuses on encoding the structure of the tree:
Read a bit:
Calculating Output Size:
Benefits:
Consider the input text: AAAAAABCCCCCCDDEEEEE
Tree:
20
----------
| 8
| -------
12 | 3 |
---|
A C E B D
Paths:
Calculation:
This approach provides an efficient and compact representation of Huffman trees for data compression applications. By encoding the tree structure directly, it saves space while preserving the information necessary for decoding. The method enables the estimation of output size in advance and can complement both whole-file and chunked data compression scenarios.
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