抽象的な

Image Compression Using DWT and Vector Quantization

Tejas S. Patel, Ravindra Modi, Keyur J. Patel

Ideally, an image compression technique removes redundant and/or irrelevant information, and efficiently encodes what remains. Image compression is most important for efficient transmission and storage space of images. Image compression plays a most powerful role in digital image processing. In this paper, DWT and Vector quantization technique are simulated. Using different codebook size, we apply DWT-VQ technique and Extended DWT-VQ (Which is the modification algorithm) on various kinds of images. The results of simulation are shown and compared different quality parameter of it’s by applying on various images.