哈夫曼编码解压缩的过程
时间: 2023-11-01 18:38:50 浏览: 31
哈夫曼编码解压缩的过程如下:
1. 读取压缩文件,获取压缩文件中的哈夫曼编码表和压缩数据。
2. 根据哈夫曼编码表构建哈夫曼树。
3. 从压缩数据中读取每一个压缩码,根据哈夫曼树进行解码,得到对应的原始数据。
4. 将解码后的原始数据写入解压缩文件中,直到所有压缩码都被解码。
5. 关闭文件,完成解压缩。
需要注意的是,在解码时需要按照哈夫曼编码表的顺序进行解码,以保证正确地还原原始数据。此外,由于哈夫曼编码是一种变长编码,因此在解码时需要注意保证每个压缩码都能够完整地读取,否则可能会导致解码错误。
相关问题
哈夫曼编码解压缩如何进行
哈夫曼编码解压缩的过程需要使用到哈夫曼树。在解压缩之前,需要先读取压缩后的文件,将其中的二进制编码转换为对应的字符。这个过程需要使用哈夫曼树进行解码。具体步骤如下:
1. 读取压缩后的文件,将其中的二进制编码转换为对应的字符。
2. 根据压缩文件中的哈夫曼编码表,构建哈夫曼树。
3. 从哈夫曼树的根节点开始,按照读取到的二进制编码依次遍历哈夫曼树,直到找到对应的字符。
4. 将找到的字符写入解压后的文件中。
5. 重复步骤3和4,直到压缩文件中的所有二进制编码都被解码为字符并写入解压后的文件中。
在上述过程中,需要注意的是,压缩文件中的哈夫曼编码表需要与压缩文件一起保存,以便在解压缩时使用。同时,解压后的文件需要与压缩前的文件内容完全一致。
C语言哈夫曼编码解压缩文件
C语言实现哈夫曼编码解压缩文件的步骤如下:
1.读取压缩文件,获取哈夫曼编码表和压缩数据。
2.根据哈夫曼编码表构建哈夫曼树。
3.根据哈夫曼树和压缩数据进行解码,得到原始数据。
4.将解码后的数据写入解压缩文件。
下面是一个简单的C语言实现:
```c
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#define MAX_TREE_HT 100
typedef struct MinHeapNode {
char data;
unsigned freq;
struct MinHeapNode *left, *right;
} MinHeapNode;
typedef struct MinHeap {
unsigned size;
unsigned capacity;
MinHeapNode **array;
} MinHeap;
typedef struct HuffmanNode {
char data; char *code;
struct HuffmanNode *next;
} HuffmanNode;
typedef struct HuffmanTable {
unsigned size;
HuffmanNode **array;
} HuffmanTable;
MinHeapNode *newNode(char data, unsigned freq) {
MinHeapNode *node = (MinHeapNode *) malloc(sizeof(MinHeapNode));
node->left = node->right = NULL;
node->data = data;
node->freq = freq;
return node;
}
MinHeap *createMinHeap(unsigned capacity) {
MinHeap *minHeap = (MinHeap *) malloc(sizeof(MinHeap));
minHeap->size = 0;
minHeap->capacity = capacity;
minHeap->array = (MinHeapNode **) malloc(minHeap->capacity * sizeof(MinHeapNode *));
return minHeap;
}
void swapMinHeapNode(MinHeapNode **a, MinHeapNode **b) {
MinHeapNode *t = *a;
*a = *b;
*b = t;
}
void minHeapify(MinHeap *minHeap, int idx) {
int smallest = idx;
int left = 2 * idx + 1;
int right = 2 * idx + 2;
if (left < minHeap->size && minHeap->array[left]->freq < minHeap->array[smallest]->freq)
smallest = left;
if (right < minHeap->size && minHeap->array[right]->freq < minHeap->array[smallest]->freq)
smallest = right;
if (smallest != idx) {
swapMinHeapNode(&minHeap->array[smallest], &minHeap->array[idx]);
minHeapify(minHeap, smallest);
}
}
int isSizeOne(MinHeap *minHeap) {
return (minHeap->size == 1);
}
MinHeapNode *extractMin(MinHeap *minHeap) {
MinHeapNode *temp = minHeap->array[0];
minHeap->array[0] = minHeap->array[minHeap->size - 1];
--minHeap->size;
minHeapify(minHeap, 0);
return temp;
}
void insertMinHeap(MinHeap *minHeap, MinHeapNode *minHeapNode) {
++minHeap->size;
int i = minHeap->size - 1;
while (i && minHeapNode->freq < minHeap->array[(i - 1) / 2]->freq) {
minHeap->array[i] = minHeap->array[(i - 1) / 2];
i = (i - 1) / 2;
}
minHeap->array[i] = minHeapNode;
}
void buildMinHeap(MinHeap *minHeap) {
int n = minHeap->size - 1;
int i;
for (i = (n - 1) / 2; i >= 0; --i)
minHeapify(minHeap, i);
}
void printArr(int arr[], int n) {
int i;
for (i = 0; i < n; ++i)
printf("%d", arr[i]);
printf("\n");
}
int isLeaf(MinHeapNode *root) {
return !(root->left) && !(root->right);
}
MinHeap *createAndBuildMinHeap(char data[], int freq[], int size) {
MinHeap *minHeap = createMinHeap(size);
for (int i = 0; i < size; ++i)
minHeap->array[i] = newNode(data[i], freq[i]);
minHeap->size = size;
buildMinHeap(minHeap);
return minHeap;
}
MinHeapNode *buildHuffmanTree(char data[], int freq[], int size) {
MinHeapNode *left, *right, *top;
MinHeap *minHeap = createAndBuildMinHeap(data, freq, size);
while (!isSizeOne(minHeap)) {
left = extractMin(minHeap);
right = extractMin(minHeap);
top = newNode('$', left->freq + right->freq);
top->left = left;
top->right = right;
insertMinHeap(minHeap, top);
}
return extractMin(minHeap);
}
void printCodes(MinHeapNode *root, int arr[], int top, HuffmanTable *table) {
if (root->left) {
arr[top] = 0;
printCodes(root->left, arr, top + 1, table);
}
if (root->right) {
arr[top] = 1;
printCodes(root->right, arr, top + 1, table);
}
if (isLeaf(root)) {
HuffmanNode *node = (HuffmanNode *) malloc(sizeof(HuffmanNode));
node->data = root->data;
node->code = (char *) malloc((top + 1) * sizeof(char));
for (int i = 0; i < top; ++i)
node->code[i] = arr[i] + '0';
node->code[top] = '\0';
node->next = NULL;
int index = root->data;
if (table->array[index] == NULL) {
table->array[index] = node;
table->size++;
} else {
HuffmanNode *p = table->array[index];
while (p->next != NULL)
p = p->next;
p->next = node;
}
}
}
HuffmanTable *getHuffmanTable(char data[], int freq[], int size) {
HuffmanTable *table = (HuffmanTable *) malloc(sizeof(HuffmanTable));
table->size = 0;
table->array = (HuffmanNode **) malloc(256 * sizeof(HuffmanNode *));
for (int i = 0; i < 256; ++i)
table->array[i] = NULL;
MinHeapNode *root = buildHuffmanTree(data, freq, size);
int arr[MAX_TREE_HT], top = 0;
printCodes(root, arr, top, table);
return table;
}
void decodeFile(char *inputFile, char *outputFile, HuffmanTable *table) {
FILE *in = fopen(inputFile, "rb");
FILE *out = fopen(outputFile, "wb");
unsigned char buffer;
int index = 0;
HuffmanNode *node;
while (fread(&buffer, sizeof(unsigned char), 1, in)) {
for (int i = 7; i >= 0; --i) {
int bit = (buffer >> i) & 1;
if (bit == 0)
index = index * 2 + 1;
else
index = index * 2 + 2;
node = table->array[index];
if (node != NULL) {
fwrite(&node->data, sizeof(char), 1, out);
index = 0;
}
}
}
fclose(in);
fclose(out);
}
int main() {
char data[] = {'a', 'c', 'e', 'f', 'k', 'm'};
int freq[] = {2, 1, 2, 3, 1, 2};
int size = sizeof(data) / sizeof(data[0]);
HuffmanTable *table = getHuffmanTable(data, freq, size);
decodeFile("compressed.bin", "decompressed.txt", table);
return 0;
}
```