Skip to main content

Advertisement

Warped Discrete Cosine Transform-Based Low Bit-Rate Block Coding Using Image Downsampling

Article metrics

  • 688 Accesses

  • 2 Citations

Abstract

This paper presents warped discrete cosine transform (WDCT)-based low bit-rate block coding using image downsampling. While WDCT aims to improve the performance of conventional DCT by frequency warping, the WDCT has only been applicable to high bit-rate coding applications because of the overhead required to define the parameters of the warping filter. Recently, low bit-rate block coding based on image downsampling prior to block coding followed by upsampling after the decoding process is proposed to improve the compression performance for low bit-rate block coders. This paper demonstrates that a superior performance can be achieved if WDCT is used in conjunction with image downsampling-based block coding for low bit-rate applications.

References

  1. 1.

    Sikora T: Trends and perspectives in image and video coding. Proceedings of the IEEE 2005,93(1):6-17.

  2. 2.

    Cho NI, Mitra SK: Warped discrete cosine transform and its application in image compression. IEEE Transactions on Circuits and Systems for Video Technology 2000,10(8):1364-1373. 10.1109/76.889021

  3. 3.

    Bruckstein AM, Elad M, Kimmel R: Down-scaling for better transform compression. IEEE Transactions on Image Processing 2003,12(9):1132-1144. 10.1109/TIP.2003.816023

  4. 4.

    Tsaig Y, Elad M, Milanfar P, Golub GH: Variable projection for near-optimal filtering in low bit-rate block coders. IEEE Transactions on Circuits and Systems for Video Technology 2005,15(1):154-160.

  5. 5.

    Gonzales R, Woods R: Digital Image Processing. Addison-Wesley, Reading, Mass, USA; 1992.

  6. 6.

    Tekalp AM: Digital Video Processing. Prentice-Hall, Upper Saddle River, NJ, USA; 1995.

Download references

Author information

Correspondence to Sarp Ertürk.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://doi.org/creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Ertürk, S. Warped Discrete Cosine Transform-Based Low Bit-Rate Block Coding Using Image Downsampling. EURASIP J. Adv. Signal Process. 2007, 043948 (2007) doi:10.1155/2007/43948

Download citation

Keywords

  • Information Technology
  • Quantum Information
  • Superior Performance
  • Block Code
  • Decode Process