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Related Experiment Videos

Undersampled boundary pre-/postfilters for low bit-rate DCT-based block coders.

Lu Gan1, Chengjie Tu, Jie Liang

  • 1Department of Electrical Engineering and Electronics, The University of Liverpool, U.K. ganlu@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 3, 2007
PubMed
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This study introduces undersampled boundary pre- and postfiltering for improved image compression. Rectangular filters reduce image size, enhancing coding efficiency and reducing complexity at low bit rates.

Area of Science:

  • Digital Image Processing
  • Signal Processing
  • Video Coding

Background:

  • Critically sampled boundary pre-/postfiltering operators enhance coding efficiency and reduce blocking artifacts in Discrete Cosine Transform (DCT) block coders.
  • Traditional systems utilize square matrices for both prefilter and postfilter operations.
  • Low bit rate image coding presents challenges in balancing efficiency and artifact reduction.

Purpose of the Study:

  • To propose and analyze undersampled boundary pre- and postfiltering modules using rectangular matrices for improved image compression.
  • To investigate the impact of using a "fat" prefilter and a "tall" postfilter on image size and computational complexity.
  • To develop VLSI-friendly implementations and explore the relationship with lapped transforms and filter banks.

Main Methods:

Related Experiment Videos

  • Development of undersampled pre- and postfiltering modules with rectangular matrices (fat prefilter, tall postfilter).
  • Derivation of VLSI-friendly implementation strategies for the proposed filters.
  • Analysis of the theoretical connections between undersampled filters, lapped transforms, and filter banks.
  • Experimental validation using two design examples and image coding simulations.

Main Results:

  • The proposed undersampled filters, with rectangular matrices, reduce the prefiltered image size compared to the original.
  • This reduction leads to improved compression performance and decreased computational complexity at low bit rates.
  • VLSI-friendly implementations were successfully derived.
  • Image coding results demonstrated excellent and stable performance for the proposed undersampled pre-/postfiltering systems in low bit-rate scenarios.

Conclusions:

  • Undersampled boundary pre- and postfiltering modules using rectangular matrices offer a viable approach to enhance low bit-rate image coding.
  • The proposed method effectively improves coding efficiency and mitigates artifacts while reducing computational load.
  • The developed techniques are suitable for VLSI implementation and show strong performance in practical image compression applications.