Chapter 1 Imaging Domain — Definition and Scope


One-Sentence Goal
Define the inputs/outputs, boundaries, and compliance gates of the EFT Imaging Methods volume; establish unified conventions for P20x-* / S20x-* / M20-* / I20-* that serve as prerequisites for subsequent chapters.


I. Scope & Objects

  1. Input objects
    • Raw imaging payloads and metadata: D_raw_img = { frames, sensor_meta, optics_meta, timing, env }.
    • Key fields: I_raw(x,y,t), bpp, gain, offset, Δx, Δt, S_sensor(λ), QE(λ), K, R, t, dist_params, ts, tau_mono, RefCond.
  2. Output objects
    • Standardized imaging data and the publication manifest: D_img_clean, manifest.imaging.*, contracts.tests, q_panel.
    • Typical derivatives: I_lin(x,y,t) (linearized radiometric response), I_denoised, I_geo, I_color, I_hdr, plus quality and gating tags.
  3. Boundaries (out of scope for this volume)
    • Task-specific losses and training for downstream recognition/retrieval/generation are out of scope and governed by their respective method volumes.
    • Hardware design and manufacturing tolerances are treated as metadata inputs; optimization of hardware tolerances is not defined here.

II. Terms & Variables

  1. Optics & spatial frequency domain
    • h(x,y) (PSF), H_otf(nu_x,nu_y), MTF(nu) = | H_otf(nu) |, F{•} is the 2-D Fourier operator.
    • aperture, f_number, focal, T_trans (transmission coefficient).
  2. Radiometry & color
    L(x,omega,λ,t), E, H, S_sensor(λ), QE(λ), I_lin; color bases RGB/XYZ/LinearRGB and white point Wp are explicit.
  3. Sampling & noise
    Δx, Δt, bpp, gain, offset, σ_shot, σ_read, σ_total, PRNU, DSNU.
  4. Geometry & registration
    Intrinsics K, extrinsics R,t, distortion parameters k1,k2,k3,p1,p2,…, reprojection error eps_reproj.
  5. Time & path
    ts, tau_mono, gamma(ell), T_arr; two forms:
    T_arr = ( 1 / c_ref ) * ( ∫_{gamma} n_eff d ell ) and T_arr = ( ∫ ( n_eff / c_ref ) d ell ), with difference delta_form.
  6. Quality & compliance
    q_score ∈ [0,1], SLO, P99, ghost_rate, DR, ΔE, SSIM, NIQE, and hash_sha256(blob), signature, TraceID.

*III. Axioms P201- **


*IV. Minimal Equations S201- **


*V. Imaging Process M20- **


VI. Contracts & Assertions

  1. Structure & monotonicity
    unique(pk), non_decreasing(ts); if a path exists, non_decreasing(ell) and L_gamma = ( ∫_gamma 1 d ell ) are persisted.
  2. Metrology & energy
    check_dim(I_lin - gain*(I_raw-offset)) = true; ( ∫∫ h dx dy ) = 1; MTF(0)=1.
  3. Quality & publication
    • delta_form ≤ tol_Tarr; eps_reproj ≤ eps_reproj_max; ΔE ≤ ΔE_max; mtf50 ≥ mtf50_min; ghost_rate ≤ ghost_max; DR ≥ DR_min; q_score ≥ q_min.
    • manifest_signed = true and hash_sha256(blob) consistent.

*VII. Implementation Bindings I20- **


VIII. Cross-References


IX. Quality Metrics & Risk Control

  1. Metric set
    • Optics: mtf50, MTF(nu) curve, consistency drift drift_mtf.
    • Noise: σ_total, PRNU, DSNU, spectral density of denoising residuals.
    • Geometry: eps_reproj, edge deformation edge_warp.
    • Color: ΔE95, gray-card neutrality bias.
    • HDR/Dynamics: DR, ghost_rate, saturation coverage.
    • Time/Path: delta_form, offset/skew/J.
    • Aggregate: q_score, P99, SLO attainment rate.
  2. Risk & rollback
    Guardrails: upon contract_fail or SLO degradation, roll back to the latest freeze_release(tag_prev) and issue audit plus postmortem.

Summary
This chapter establishes the objects, boundaries, and minimal P/S/M/I conventions for the imaging domain. Subsequent chapters follow this scaffold—covering metrology and time-base unification, two-form arrival time, and the optics/geometry/color/HDR/quality & compliance stack—together with their implementation bindings.