Skip to content

Advertisement

  • Research Article
  • Open Access

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

EURASIP Journal on Advances in Signal Processing20072007:043948

https://doi.org/10.1155/2007/43948

  • Received: 18 May 2006
  • Accepted: 6 February 2007
  • Published:

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.

Keywords

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

[123456]

Authors’ Affiliations

(1)
Kocaeli University Laboratory of Image and Signal Processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, 41040, Turkey

References

  1. Sikora T: Trends and perspectives in image and video coding. Proceedings of the IEEE 2005,93(1):6-17.MathSciNetView ArticleGoogle Scholar
  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. 10.1109/76.889021View ArticleGoogle Scholar
  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.2003.816023MathSciNetView ArticleMATHGoogle Scholar
  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.View ArticleGoogle Scholar
  5. Gonzales R, Woods R: Digital Image Processing. Addison-Wesley, Reading, Mass, USA; 1992.Google Scholar
  6. Tekalp AM: Digital Video Processing. Prentice-Hall, Upper Saddle River, NJ, USA; 1995.Google Scholar

Copyright

© Sarp Ertürk 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement