哈夫曼译码器java_哈夫曼编码译码器及代码
时间: 2024-01-19 22:03:12 浏览: 80
哈夫曼编码是一种压缩算法,可以将一个长的消息或文件压缩成较短的二进制码。哈夫曼编码通过构建一棵二叉树来生成编码,每个字符对应树上的一个叶子节点,该字符的编码是从根节点到叶子节点的路径上的0和1序列。
哈夫曼编码译码器的实现需要以下步骤:
1. 解析压缩文件中的哈夫曼编码表,生成哈夫曼树。
2. 读取压缩文件,并将二进制码转换为字符。
3. 使用哈夫曼树解码字符并输出原始消息或文件。
以下是一个Java实现的哈夫曼编码译码器的代码示例:
```java
import java.io.*;
import java.util.*;
public class HuffmanDecoder {
private Map<String, String> huffmanTable;
public void decodeFile(String compressedFile, String outputFile) throws IOException {
// 读取压缩文件
byte[] compressedBytes = readCompressedFile(compressedFile);
// 解析哈夫曼编码表
huffmanTable = parseHuffmanTable(compressedBytes);
// 构建哈夫曼树
Node rootNode = buildHuffmanTree(huffmanTable);
// 解码文件
decodeBytes(compressedBytes, rootNode, outputFile);
}
private byte[] readCompressedFile(String compressedFile) throws IOException {
FileInputStream inputStream = new FileInputStream(compressedFile);
byte[] bytes = new byte[(int) new File(compressedFile).length()];
inputStream.read(bytes);
inputStream.close();
return bytes;
}
private Map<String, String> parseHuffmanTable(byte[] compressedBytes) {
Map<String, String> huffmanTable = new HashMap<String, String>();
String tableString = new String(compressedBytes).split("\\|")[0];
String[] entries = tableString.split(";");
for (String entry : entries) {
String[] parts = entry.split(":");
huffmanTable.put(parts[0], parts[1]);
}
return huffmanTable;
}
private Node buildHuffmanTree(Map<String, String> huffmanTable) {
List<Node> nodeList = new ArrayList<Node>();
for (Map.Entry<String, String> entry : huffmanTable.entrySet()) {
Node node = new Node(entry.getKey(), Integer.parseInt(entry.getValue()));
nodeList.add(node);
}
while (nodeList.size() > 1) {
Collections.sort(nodeList);
Node leftChild = nodeList.remove(0);
Node rightChild = nodeList.remove(0);
Node parent = new Node(null, leftChild.frequency + rightChild.frequency);
parent.leftChild = leftChild;
parent.rightChild = rightChild;
nodeList.add(parent);
}
return nodeList.get(0);
}
private void decodeBytes(byte[] compressedBytes, Node rootNode, String outputFile) throws IOException {
StringBuilder binaryStringBuilder = new StringBuilder();
for (int i = compressedBytes.length - 1; i >= 0; i--) {
byte currentByte = compressedBytes[i];
String binaryString = Integer.toBinaryString(currentByte & 255 | 256).substring(1);
binaryStringBuilder.append(binaryString);
}
String binaryString = binaryStringBuilder.reverse().toString();
FileOutputStream outputStream = new FileOutputStream(outputFile);
Node currentNode = rootNode;
for (int i = 0; i < binaryString.length(); i++) {
if (binaryString.charAt(i) == '0') {
currentNode = currentNode.leftChild;
} else {
currentNode = currentNode.rightChild;
}
if (currentNode.isLeaf()) {
outputStream.write(currentNode.value.charAt(0));
currentNode = rootNode;
}
}
outputStream.close();
}
private class Node implements Comparable<Node> {
private String value;
private int frequency;
private Node leftChild;
private Node rightChild;
public Node(String value, int frequency) {
this.value = value;
this.frequency = frequency;
}
public boolean isLeaf() {
return leftChild == null && rightChild == null;
}
public int compareTo(Node other) {
return frequency - other.frequency;
}
}
public static void main(String[] args) throws IOException {
HuffmanDecoder decoder = new HuffmanDecoder();
decoder.decodeFile("compressed_file.bin", "output_file.txt");
}
}
```
此代码解析压缩文件并生成哈夫曼树,然后使用该树来解码文件。要使用此代码,请将 `compressed_file.bin` 替换为要解码的文件名,将 `output_file.txt` 替换为输出文件名。
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