灰度图像稀疏矩阵压缩实例代码

灰度图像的稀疏矩阵压缩可以使用三元组存储法来实现。下面是一个简单的例子代码：

#include <iostream>
#include <vector>

using namespace std;

// 稀疏矩阵压缩
void compress(vector<vector<int>>& matrix, vector<vector<int>>& compressed) {
    int rows = matrix.size();
    int cols = matrix.size();

    for (int i = 0; i < rows; i++) {
        for (int j = 0; j < cols; j++) {
            if (matrix[i][j] != 0) {
                vector<int> temp;
                temp.push_back(i);
                temp.push_back(j);
                temp.push_back(matrix[i][j]);
                compressed.push_back(temp);
            }
        }
    }
}

// 打印压缩后的矩阵
void printCompressed(vector<vector<int>>& compressed) {
    int len = compressed.size();

    for (int i = 0; i < len; i++) {
        cout << compressed[i] << " " << compressed[i] << " " << compressed[i] << endl;
    }
}

int main() {
    vector<vector<int>> matrix = {{0, 0, 3, 0},
                                  {0, 4, 0, 6},
                                  {7, 0, 0, 0},
                                  {0, 0, 9, 0}};

    vector<vector<int>> compressed;
    compress(matrix, compressed);
    printCompressed(compressed);

    return 0;
}

这个例子中，`compress()`函数将原始的稀疏矩阵压缩成三元组存储在`compressed`中，`printCompressed()`函数打印出压缩后的矩阵。你可以根据自己的需要对代码进行修改。