An Embedded DCT Approach to Progressive Image Compression

  • Jiankun Li ,
  • Jin Li ,
  • C.-C. Jay Kuo

IEEE International Conference on Image Processing, Lausanne, Switzerland |

Published by IEEE

Motivated by Shapiro’s embedded zerotree wavelet coding (EZW) and Taubman and Zakhor’s layered zero coding (LZC), we propose a layered DCT image compression scheme, which generates an embedded bit stream for DCT coefficients according to their importance. The new method allows progressive image transmission and simplifies the rate-control problem. In addition to these functionalities, it provides a substantial rate-distortion improvement over the JPEG standard when the bit rates become low. For example, we observe a bit rate reduction with respect to the JPEG Huffman and arithmetic codes by about 60% and 20%, respectively, for a bit rate around 0.1bpp.