ters are essential for optimal results. Applications and Use Cases of DWT SPIHT Image Codec The DWT SPIHT image codec implementation is widely applicable: Medical Imaging: Efficient storage and transmission of high-resolution images. Digital Photography: Reducing file sizes witho
include: Developing real-time DWT-based speech codecs. Combining DWT with other compression techniques like Vector Quantization. Applying machine learning for optimal thresholding and wavelet selection. Exploring perceptual metrics for better quality assessment. In summary, DWT
has certain limitations: Limited Frequency Resolution: The Haar wavelet's poor frequency localization can reduce robustness against certain attacks. Susceptibility to Geometric Attacks: Scaling, rotation, or cropping can distort the e
