C++实现图片jpg格式变成16位565bmp格式

// ConsoleApplication1.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//

#include <iostream>
#include<string>
#include <atlimage.h>

bool ConvertJpgTo16BitBmp565(const char* input_path, const char* output_path) {
    CImage srcImage, dstImage;

    // 1. 加载源图像
    srcImage.Load(input_path);

    int width = srcImage.GetWidth();
    int height = srcImage.GetHeight();
    int srcBpp = srcImage.GetBPP();
    int srcPitch = srcImage.GetPitch();
    BYTE* srcBits = static_cast<BYTE*>(srcImage.GetBits());

    // 2. 创建目标图像（负高度表示自上而下存储）
    DWORD masks[] = { 0xF800, 0x07E0, 0x001F };
    dstImage.CreateEx(width, height, 16, BI_BITFIELDS, masks);

    // 3. 获取目标图像参数（实际步长由API返回）
    int dstPitch = dstImage.GetPitch();
    BYTE* dstBits = static_cast<BYTE*>(dstImage.GetBits());
    // 5. 处理像素数据（无需反转行顺序）
    for (int y = 0; y < height; ++y) {
        BYTE* srcRow = srcBits + y * srcPitch;
        BYTE* dstRow = dstBits + y * dstPitch;

        for (int x = 0; x < width; ++x) {
            BYTE r, g, b;

            // 解析源像素颜色
            if (srcBpp == 24) { // 24位BGR
                BYTE* p = srcRow + x * 3;
                b = p[0];
                g = p[1];
                r = p[2];
            }
            else if (srcBpp == 32) { // 32位BGRX
                BYTE* p = srcRow + x * 4;
                b = p[0];
                g = p[1];
                r = p[2];
            }
            else {
                return false;
            }

            // 转换为RGB565
            WORD rgb565 = ((r >> 3) << 11) | ((g >> 2) << 5) | (b >> 3);
            // 安全写入目标像素
            dstRow[x * 2] = static_cast<BYTE>(rgb565 & 0xFF);       // 低位字节
            dstRow[x * 2 + 1] = static_cast<BYTE>((rgb565 >> 8)); // 高位字节
        }
    }
    dstImage.Save(output_path, Gdiplus::ImageFormatBMP);
    return true;
}
int main()
{
    if (__argc < 2)
        return 0;
    for (int i = 1; i < __argc; i++)
    {
        std::string h = __argv[i];
        if (strcmp(h.substr(h.length() - 3).c_str(), "jpg"))
            continue;
        h=h.substr(0, h.length() - 3);
        h += "bmp";
        printf(h.c_str());
        ConvertJpgTo16BitBmp565(__argv[i], h.c_str());
    }
    return 0;
}

#include <iostream>
#include<string>
#include <atlimage.h>

bool ConvertJpgTo16BitBmp565(const char* input_path, const char* output_path) {
    CImage srcImage, dstImage;

    // 1. 加载源图像
    srcImage.Load(input_path);

    int width = srcImage.GetWidth();
    int height = srcImage.GetHeight();
    int srcBpp = srcImage.GetBPP();
    int srcPitch = srcImage.GetPitch();
    BYTE* srcBits = static_cast<BYTE*>(srcImage.GetBits());

    // 2. 创建目标图像（负高度表示自上而下存储）
    DWORD masks[] = { 0xF800, 0x07E0, 0x001F };
    dstImage.CreateEx(width, height, 16, BI_BITFIELDS, masks);

    // 3. 获取目标图像参数（实际步长由API返回）
    int dstPitch = dstImage.GetPitch();
    BYTE* dstBits = static_cast<BYTE*>(dstImage.GetBits());
    // 5. 处理像素数据（无需反转行顺序）
    for (int y = 0; y < height; ++y) {
        BYTE* srcRow = srcBits + y * srcPitch;
        BYTE* dstRow = dstBits + y * dstPitch;

        for (int x = 0; x < width; ++x) {
            BYTE r, g, b;

            // 解析源像素颜色
            if (srcBpp == 24) { // 24位BGR
                BYTE* p = srcRow + x * 3;
                b = p[0];
                g = p[1];
                r = p[2];
            }
            else if (srcBpp == 32) { // 32位BGRX
                BYTE* p = srcRow + x * 4;
                b = p[0];
                g = p[1];
                r = p[2];
            }
            else {
                return false;
            }

            // 转换为RGB565
            WORD rgb565 = ((r >> 3) << 11) | ((g >> 2) << 5) | (b >> 3);
            // 安全写入目标像素
            dstRow[x * 2] = static_cast<BYTE>((rgb565 >> 8));      // 低位字节
            dstRow[x * 2 + 1] = static_cast<BYTE>(rgb565 & 0xFF); // 高位字节
        }
    }
    dstImage.Save(output_path, Gdiplus::ImageFormatBMP);
    return true;
}
int main()
{
    if (__argc < 2)
        return 0;
    for (int i = 1; i < __argc; i++)
    {
        std::string h = __argv[i];
        if (strcmp(h.substr(h.length() - 3).c_str(), "jpg"))
            continue;
        h=h.substr(0, h.length() - 3);
        h += "bmp";
        printf(h.c_str());
        ConvertJpgTo16BitBmp565(__argv[i], h.c_str());
    }
    return 0;
}

#include <opencv2/opencv.hpp>
#include <iostream>
 
int main() {
    // 输入文件路径和输出文件路径
    std::string inputImagePath, outputImagePath;
    
    std::cout << "Enter the input image file path: ";
    std::cin >> inputImagePath;
    
    std::cout << "Enter the output image file path (e.g., output.png, output.jpg): ";
    std::cin >> outputImagePath;
 
    // 读取图片
    cv::Mat image = cv::imread(inputImagePath, cv::IMREAD_UNCHANGED);
 
    // 检查图片是否成功加载
    if (image.empty()) {
        std::cerr << "Error: Could not open or find the image!" << std::endl;
        return -1;
    }
 
    // 保存图片到新格式
    bool success = cv::imwrite(outputImagePath, image);
 
    if (success) {
        std::cout << "Image successfully converted and saved to " << outputImagePath << std::endl;
    } else {
        std::cerr << "Error: Could not save the image!" << std::endl;
    }
 
    return 0;
}