Efficient Image Compression based on Discrete Wavelet Transform

Abstract

Image compression is a method that reduces the number of bits used to represent a picture, reducing its size without losing any information. The goal is to reduce bandwidth and memory use without compromising image quality. The proposed method is straightforward and effective, using multiple compression stages, including segmenting the picture into smaller parts and applying discrete wavelet transform (DWT). DWT represents the picture as the sum of wavelet functions at various resolution levels. To maximize compression data rate and provide high-quality reconstructed images, huffman encoding with vector quantize is used. Simulation results show a decent compression ratio and improved SSIM for reconstruction, resulting in high resolution and quality images.