Implementation of Secondary Image Compression Using Wavelet Transform

In the MATLAB environment, I provide complete source code that has been thoroughly debugged. This implementation performs secondary compression of images using wavelet transformation - an effective compression technique that reduces file size while preserving key image features. The code utilizes multi-level wavelet decomposition (e.g., using wavedec2 function) followed by threshold-based coefficient processing to eliminate insignificant details. Key functions include wavelet type selection, decomposition level configuration, and quantization parameter adjustment for optimal compression ratios. The algorithm maintains visual quality through strategic preservation of approximation coefficients while compressing detail coefficients. For efficient implementation, the code handles both grayscale and color images with proper channel processing. If you encounter any issues or require technical assistance, please feel free to consult me for implementation details or parameter optimization suggestions.