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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.


Copyright & License (CC BY 4.0)

Copyright: Unless otherwise noted, the copyright of “Energy Filament Theory” (text, charts, illustrations, symbols, and formulas) belongs to the author “Guanglin Tu”.
License: This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). You may copy, redistribute, excerpt, adapt, and share for commercial or non‑commercial purposes with proper attribution.
Suggested attribution: Author: “Guanglin Tu”; Work: “Energy Filament Theory”; Source: energyfilament.org; License: CC BY 4.0.

First published: 2025-11-11|Current version:v5.1
License link:https://creativecommons.org/licenses/by/4.0/