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Visibility of Quantization Errors in Reversible JPEG2000.

Feng Liu1, Eze L Ahanonu2, Michael W Marcellin2

  • 1College of Electronic Information and Optical Engineering, Nankai University, Tianjin, 300350, People's Republic of China.

Signal Processing. Image Communication
|March 25, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for optimizing perceptual image quality in the reversible JPEG2000 compression pipeline. It quantifies the bitrate cost of reversible transforms for near-threshold image compression.

Keywords:
Human Visual SystemImage CompressionReversible JPEG2000 CompressionVisibility ThresholdWavelet Transform

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Area of Science:

  • Digital image processing
  • Human visual system modeling
  • Image compression standards

Background:

  • JPEG2000 is a widely used image compression standard.
  • Previous perceptual optimization focused on irreversible compression pipelines.
  • Reversible compression pipelines require specialized optimization for perceptual quality.

Purpose of the Study:

  • To develop a method for optimizing perceptual quality within the reversible JPEG2000 pipeline.
  • To introduce a novel approach for measuring quantization error visibility in reversible transforms.
  • To enable near-threshold and numerically lossless image representations for applications requiring data restoration.

Main Methods:

  • Developed a new methodology to quantify the visibility of quantization errors in reversible color and wavelet transforms.
  • Integrated visibility thresholds into a JPEG2000 encoder.
  • Analyzed and quantified the bitrate penalty associated with reversible transforms in near-threshold compression.

Main Results:

  • Successfully created a JPEG2000 encoder for the reversible pipeline that incorporates perceptual visibility thresholds.
  • Enabled the generation of scalable codestreams offering both near-threshold and numerically lossless compression.
  • Quantified, for the first time, the bitrate overhead of reversible transforms compared to irreversible ones for near-threshold compression.

Conclusions:

  • The proposed methodology effectively optimizes perceptual quality for the reversible JPEG2000 pipeline.
  • This approach provides a valuable solution for applications demanding both high compression and perfect image reconstruction.
  • The quantified bitrate penalty offers crucial insights for future development of reversible image compression techniques.