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Related Experiment Videos

JPEG2000-coded image error concealment exploiting convex sets projections.

Luigi Atzori1, Giaime Ginesu, Alessio Raccis

  • 1Department of Electrical and Electronic Engineering, University of Cagliari, 09123, Cagliari, Italy. l.atzori@diee.unica.it

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 14, 2005
PubMed
Summary

This study introduces a novel method to conceal transmission errors in JPEG2000 images, specifically targeting high bit-plane damage. The adaptive approach effectively restores image quality by combining spatial filtering and transform domain techniques.

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Area of Science:

  • Image Compression
  • Digital Signal Processing
  • Error Concealment

Background:

  • JPEG2000 transmission errors manifest in three classes: LL, low-level high frequencies, and high-level high frequencies.
  • High-level high-frequency errors are often imperceptible but challenging to conceal.
  • Existing methods struggle with effectively addressing these specific JPEG2000 error types.

Purpose of the Study:

  • To develop an effective error concealment technique for JPEG2000 images suffering from high bit-plane damage.
  • To propose a novel approach based on the theory of projections onto convex sets for error masking.
  • To improve the visual quality of JPEG2000 images affected by specific transmission errors.

Main Methods:

  • Proposed a new error concealment approach using projections onto convex sets.

Related Experiment Videos

  • Iteratively applied low-pass (LP) filtering in the spatial domain and restoration of uncorrupted wavelet coefficients in the transform domain.
  • Developed an adaptive LP filtering strategy using an edge map to optimize filter mask size, overcoming limitations of uniform filtering.

    • Main Results:

    • The proposed method effectively conceals JPEG2000 transmission errors affecting high bit-planes.
    • Adaptive filtering significantly improved concealment efficiency compared to uniform filtering, mitigating undesired side effects.
    • Simulation results validated the effectiveness and efficiency of the developed error concealment approach.

    Conclusions:

    • The novel projections onto convex sets-based method offers a robust solution for JPEG2000 high bit-plane error concealment.
    • Adaptive spatial filtering is crucial for mitigating artifacts and enhancing concealment performance.
    • The proposed technique demonstrates significant potential for improving the resilience of JPEG2000 compression against transmission errors.