In C++, you can use the OpenCV library to perform 2D discrete wavelet transform (DWT) and inverse DWT on images. OpenCV provides the functions `cv::dwt()` and `cv::idwt()` for this purpose.
Here's an example of how you can use OpenCV in C++ to perform 2D DWT and inverse DWT on an image:
```cpp
#include <opencv2/opencv.hpp>
int main()
{
// Load the input image
cv::Mat image = cv::imread("input_image.jpg", cv::IMREAD_GRAYSCALE);
// Perform 2D DWT
cv::Mat dwtImage;
cv::dwt(image, dwtImage, cv::DCT_ROWS);
// Perform inverse 2D DWT
cv::Mat idwtImage;
cv::idwt(dwtImage, idwtImage, cv::DCT_ROWS);
// Display the original and reconstructed images
cv::imshow("Original Image", image);
cv::imshow("Reconstructed Image", idwtImage);
cv::waitKey(0);
return 0;
}
```
Please note that the above code assumes grayscale images, but you can modify it accordingly for color images. Additionally, you may need to install the OpenCV library and configure your C++ project to link against it.
Using OpenCV's DWT and IDWT functions, you can achieve similar functionality to `pywt.dwt2()` in Python.
I hope this helps you in porting your code to C++. If you have further questions, feel free to ask.