A new subband coding technique using (JPEG) discrete cosine transform for image compression

Abstract

Subband image coding has been shown to be an effective image compression technique for high quality coding at low bit rates. This paper proposes a new subband image compression technique design based on 2-D single-sideband analysis/synthesis system. This new method involves two basic components: the subband analysis/synthesis subsystem, which is composed of down-sampling/up-sampling and filter banks; and the coding subsystem, which utilizes Joint Photographic Experts Group (JPEG) discrete cosine transform lossy transform coder. The first subsystem reduces the image size in the spatial domain and the second subsystem reduces the image size in the frequency domain. These two successive compression processes combine to form a powerful image compression. The overall compression rate of images in this technique can reach up to about 97% of their original size without losing the image quality.