Research Article Open Access

Image Compression Using DWT and Vector Quantization

Abstract

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.

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

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