MATLAB Implementation of Image Compression and Reconstruction Steps

The MATLAB implementation of image compression and reconstruction involves: ① Performing wavelet decomposition to obtain first-level low-frequency and high-frequency coefficients ② Retaining low-frequency coefficients while compressing high-frequency coefficients using neural network-based vector quantization encoding ③ Restoring high-frequency coefficients from the codebook ④ Reconstructing the image using preserved low-frequency and restored high-frequency coefficients