schema_version: 1
execution_profile:
  id: task_evaluation
  version: 1
name: jpeg_capacity_matched_kodak_awgn
description: >-
  JPEG separation upper bound for Kodak: at each AWGN SNR, select the highest
  per-image JPEG quality whose native bitstream fits an ideal capacity-achieving
  channel code under a fixed complex-channel-use budget.
suite:
  id: semantic_comm
  name: Semantic Communication
  status: active
  version: v1
metadata:
  research_stage: theoretical_digital_baseline
  purpose: image_reconstruction
  channel_enabled: true
  channel_mode: capacity_oracle_awgn
  protected_digital_baseline: jpeg_capacity_oracle
  resource_budget: 0.5 complex channel uses per spatial source pixel
  protocol_reference: Bourtsoulatze_Kurka_Gunduz_DeepJSCC_2019
  matrix:
    dimensions:
      channel.snr_db: [-6, -4, -2, 0, 4, 8, 12, 16]
    step_params:
      wireless_channel:
        snr_db:
          matrix: channel.snr_db
steps:
  - id: data
    op: source.image_dataset
    params:
      dataset: kodak
      dataset_dir: .noema/datasets/kodak
      image_ids: kodim21,kodim22,kodim23,kodim24
      crop_size: 256
      repeat_count: 1

  - id: wireless_channel
    op: channel.jpeg_capacity_oracle
    inputs:
      images: data.images
    params:
      snr_db: -6
      channel_uses_per_pixel: 0.5
      minimum_quality: 1
      maximum_quality: 95
      subsampling: "420"
      optimize: false
      progressive: false
      on_outage: gray_image

  - id: evaluation
    op: metrics.image_reconstruction
    inputs:
      reference: data.images
      reconstruction: wireless_channel.images
    params: {}