Two-Dimensional Discrete Wavelet Transform for Image Processing

Perform multi-level (≥3) 2D discrete wavelet transformation on images, reconstruct the transformed data, and calculate the Peak Signal-to-Noise Ratio (PSNR) of the reconstructed image. Implementation typically involves wavelet decomposition using functions like wavedec2(), reconstruction using waverec2(), and PSNR calculation through mean squared error computation.