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  • Getting started
  • User Guide
  • API
  • Reference
  • Changelog
  • For developers
  • Home
  • GitHub
  • PyPI

Section Navigation

Synthesis method introductions

  • Eigendistortions
  • MAD Competition Conceptual Introduction
  • MAD Competition Usage
  • Metamers

Models and metrics

  • Perceptual distance
  • Steerable Pyramid
  • Portilla-Simoncelli Texture Model
    • Getting started
      • What is a visual texture?
      • Using the Portilla-Simoncelli model in plenoptic
    • Understanding the Model
      • Example Portilla-Simoncelli metamers from different texture classes
      • Understanding Portilla-Simoncelli model statistics
    • Technical details
      • Portilla-Simoncelli optimization details
      • Portilla-Simoncelli Model Limitations
      • Notable differences between Matlab and Plenoptic Implementations
    • Advanced usage
      • More than just texture metamers

Reproducing examples from the literature

  • Reproducing Berardino et al., 2017 (Eigendistortions)
  • Reproducing Wang and Simoncelli, 2008 (MAD Competition)

Advanced Usage

  • Display and animate functions
  • Extending existing synthesis objects
  • User Guide
  • Portilla-Simoncelli Texture Model
  • Technical details

Technical details#

  • Portilla-Simoncelli optimization details
    • What is a “good” metamer?
    • Optimizer configuration
    • Custom loss function
    • Parallelism and CPU efficiency
  • Portilla-Simoncelli Model Limitations
    • Usage limitations
    • Synthesis limitations
  • Notable differences between Matlab and Plenoptic Implementations
    • Redundant statistics
    • Magnitude means

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Understanding Portilla-Simoncelli model statistics

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Portilla-Simoncelli optimization details

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