先编译出libjepg动态库
1、下载libjpeg源码:
https://github.com/libjpeg-turbo/libjpeg-turbo
2、编译出动态库或静态库
写一个编译脚本,用cmake构建。
shell
#!/bin/bash
# 定义变量
SOURCE_DIR="/home/user/libjpeg-turbo-main"
BUILD_DIR="${SOURCE_DIR}/build"
INSTALL_DIR="/home/user/libjpeg-turbo-main"
# 创建并进入构建目录
mkdir -p "$BUILD_DIR"
cd "$BUILD_DIR"
# 运行CMake命令
cmake -G"Unix Makefiles" \
-DCMAKE_BUILD_TYPE=Release \
-DWITH_MEM_SRCDST=1 \
-DCMAKE_INSTALL_PREFIX="$INSTALL_DIR" \
"$SOURCE_DIR"
# 编译和安装
make -j$(nproc)
sudo make install
# 提示完成
echo "Build and installation completed successfully!"
chmod +x ./libjpeg_build.sh
./libjpeg_build.sh
run!
编译生成的动态库安装在libjpeg-turbo-main/lib目录下 。
3、写代码
动态库有两种加载方式,一种编译的时候就依赖,一种是运行的时候dlopen。
写一个代码用turbo提供的接口实现一个彩色图片转灰度的图片的demo。
3.1 编译的时候就依赖
写CMakeLists.txt
c
cmake_minimum_required(VERSION 3.10)
project(libjpeg_demo)
set(JPEG_LIB_DIR "/home/user/libjpeg-turbo-main/lib")
set(JPEG_INCLUDE_DIR "/home/user/libjpeg-turbo-main/include")
include_directories(${JPEG_INCLUDE_DIR})
link_directories(${JPEG_LIB_DIR})
add_executable(libjpeg_demo main.cpp)
target_link_libraries(libjpeg_demo turbojpeg)
cpp代码
cpp
#include <turbojpeg.h>
#include <iostream>
#include <fstream>
#include <vector>
void saveGrayscaleImage(const std::string &filename, const unsigned char* buffer, int width, int height) {
std::ofstream outFile(filename, std::ios::binary);
outFile << "P5\n" << width << " " << height << "\n255\n";
outFile.write(reinterpret_cast<const char*>(buffer), width * height);
outFile.close();
}
int main() {
const char* inputFile = "1.jpg";
tjhandle jpegDecompressor = tjInitDecompress();
std::ifstream inFile(inputFile, std::ios::binary | std::ios::ate);
if (!inFile) {
std::cerr << "Error: Could not open input file!" << std::endl;
return 1;
}
std::streamsize fileSize = inFile.tellg();
inFile.seekg(0, std::ios::beg);
std::vector<unsigned char> jpegBuffer(fileSize);
inFile.read(reinterpret_cast<char*>(jpegBuffer.data()), fileSize);
int width, height, jpegSubsamp;
tjDecompressHeader2(jpegDecompressor, jpegBuffer.data(), fileSize, &width, &height, &jpegSubsamp);
std::vector<unsigned char> grayscaleBuffer(width * height);
tjDecompress2(jpegDecompressor, jpegBuffer.data(), fileSize, grayscaleBuffer.data(), width, 0, height, TJPF_GRAY, TJFLAG_FASTDCT);
saveGrayscaleImage("grayscale.pgm", grayscaleBuffer.data(), width, height);
tjDestroy(jpegDecompressor);
std::cout << "Grayscale image saved as grayscale.pgm" << std::endl;
return 0;
}
3.2 通过dlopen动态加载
写CMakeLists.txt
c
cmake_minimum_required(VERSION 3.10)
project(libjpeg_dl_demo)
set(CMAKE_CXX_STANDARD 17)
add_executable(libjpeg_dl_demo main.cpp)
target_link_libraries(libjpeg_dl_demo dl)
cpp
#include <dlfcn.h>
#include <iostream>
#include <fstream>
#include <vector>
#include "turbojpeg.h"
// 定义动态加载的函数指针类型
typedef void* tjhandle;
typedef tjhandle (*tjInitDecompress_t)();
typedef int (*tjDecompressHeader2_t)(tjhandle, unsigned char*, unsigned long, int*, int*, int*);
typedef int (*tjDecompress2_t)(tjhandle, unsigned char*, unsigned long, unsigned char*, int, int, int, int, int);
typedef int (*tjDestroy_t)(tjhandle);
// 保存灰度图像为 PGM 格式
void saveGrayscaleImage(const std::string &filename, const unsigned char* buffer, int width, int height) {
std::ofstream outFile(filename, std::ios::binary);
outFile << "P5\n" << width << " " << height << "\n255\n";
outFile.write(reinterpret_cast<const char*>(buffer), width * height);
outFile.close();
}
int main() {
const char* inputFile = "/home/user/demo/1.jpg"; // 输入文件路径
// 动态加载 libturbojpeg.so 库
void* handle = dlopen("/home/user/libjpeg-turbo-main/lib/libturbojpeg.so.0.4.0", RTLD_LAZY);
if (!handle) {
std::cerr << "Error loading tjInitDecompress: " << dlerror() << std::endl;
return 1;
}
// 获取函数指针
auto tjInitDecompress = (tjInitDecompress_t)dlsym(handle, "tjInitDecompress");
auto tjDecompressHeader2 = (tjDecompressHeader2_t)dlsym(handle, "tjDecompressHeader2");
auto tjDecompress2 = (tjDecompress2_t)dlsym(handle, "tjDecompress2");
auto tjDestroy = (tjDestroy_t)dlsym(handle, "tjDestroy");
if (!tjInitDecompress || !tjDecompressHeader2 || !tjDecompress2 || !tjDestroy) {
std::cerr << "Error: Failed to load necessary functions from libturbojpeg.so" << std::endl;
dlclose(handle);
return 1;
}
// 初始化解压器
tjhandle jpegDecompressor = tjInitDecompress();
if (!jpegDecompressor) {
std::cerr << "Error: Failed to initialize decompressor" << std::endl;
dlclose(handle);
return 1;
}
// 打开输入文件
std::ifstream inFile(inputFile, std::ios::binary | std::ios::ate);
if (!inFile) {
std::cerr << "Error: Could not open input file!" << std::endl;
tjDestroy(jpegDecompressor);
dlclose(handle);
return 1;
}
// 读取 JPEG 文件内容
std::streamsize fileSize = inFile.tellg();
inFile.seekg(0, std::ios::beg);
std::vector<unsigned char> jpegBuffer(fileSize);
inFile.read(reinterpret_cast<char*>(jpegBuffer.data()), fileSize);
// 解压 JPEG header 获取图像尺寸
int width, height, jpegSubsamp;
if (tjDecompressHeader2(jpegDecompressor, jpegBuffer.data(), fileSize, &width, &height, &jpegSubsamp) != 0) {
std::cerr << "Error: Failed to read JPEG header" << std::endl;
tjDestroy(jpegDecompressor);
dlclose(handle);
return 1;
}
// 解压 JPEG 为灰度图像
std::vector<unsigned char> grayscaleBuffer(width * height);
if (tjDecompress2(jpegDecompressor, jpegBuffer.data(), fileSize, grayscaleBuffer.data(), width, 0, height, TJPF_GRAY, 0) != 0) {
std::cerr << "Error: Failed to decompress image to grayscale" << std::endl;
tjDestroy(jpegDecompressor);
dlclose(handle);
return 1;
}
// 保存灰度图像为 PGM 格式
saveGrayscaleImage("grayscale.pgm", grayscaleBuffer.data(), width, height);
// 清理资源并关闭库
tjDestroy(jpegDecompressor);
dlclose(handle);
std::cout << "Grayscale image saved as grayscale.pgm" << std::endl;
return 0;
}
写完
cd build
cmake ...
make
./libjpeg_dl_demo
跑起来啦
ok~