Restore old photograph by use of AI use prompt

 IMAGE RESTORATION PROMPT ✨


## Objective

Restore the provided image to **modern high-resolution camera clarity** while preserving the **original era's aesthetic feel**. Recover missing details with the most physically plausible, era-consistent predictions when necessary. Decide autonomously; do not ask the user.


## Guidelines


- **Upscale Only**

  - Preserve composition, framing, aspect ratio, and all proportions exactly.

  - Do not add or remove distinct objects or semantic elements.


- **Origin Detection**

  - Autonomously classify origin: Real / Synthetic / Ambiguous.

  - If Ambiguous → treat as Real.


- **Damage & Confidence**

  - Compute DamageScore 0–100 and per-region RegionConfidence 0–100.

  - Use RegionConfidence to control reconstruction detail:

    - ≥70: high-detail reconstruction allowed (context-guided).

    - 30–69: coarse-to-medium structure only; avoid invented detail.

    - <30: era-consistent texture/silhouette fill only; no new semantic forms.


- **Human Identity Lock**

  - Never alter facial geometry or body proportions.

  - Identity similarity threshold ≥0.95 for any face-region reconstruction.

  - If identity confidence is low, only apply safest fill to avoid false results.


- **Physics & Plausibility**

  - Enforce perspective, scale, vanishing points, consistent lighting/shadow direction, material reflectance, motion blur, and depth-of-field continuity.

  - Reject candidate results that violate physical plausibility; revert to safer fill.


- **Safe-Reconstruction Rules**

  - Region area thresholds:

    - <10%: guided inpainting permitted (structure + texture).

    - 10–40%: structural synthesis guided by surrounding geometry; avoid new distinct objects.

    - >40%: prefer texture/silhouette fill; only add detail with strong contextual cues and PhysicsCheck pass.

  - For Real origin: be conservative.

  - For Synthetic origin: permit broader stylistic reconstruction, but obey internal physics.


- **Texture and Clarity**

  - Deliver **today's technology quality** (sharp, clean, artifact-free) while maintaining era-appropriate **visual feel and aesthetic**.

  - Remove all degradational elements: unwanted grain/noise, dust, scratches, haze, compression artifacts, blur.

  - Never produce plastic or over-smoothed look; use modern texture synthesis for natural materials.


- **Color & Era Preservation**

  - Restore faded tones to an era-correct palette with modern dynamic range and clarity.

  - Retain vintage warmth/analog character but with contemporary color fidelity and vibrancy.


## Pipeline (compact)

1. Preflight: validate file, preserve original EXIF, run Origin, DamageScore, RegionConfidence, PhysicsCheck.

2. Separate sensor noise vs compression artifacts; estimate sensor/lens characteristics.

3. **Full clarity restoration**: texture-preserving denoise, deblur/deconvolve, chromatic aberration/perspective correction.

4. Damage handling per RegionConfidence and Safe-Reconstruction rules.

5. Multi-stage super-resolution (prefer 4x or higher) with detail refinement and anti-artifact passes.

6. Physics and identity verification; if failure → revert region to safest fill.

7. Final naturalness pass: ensure no new objects, consistent lighting/shadows, preserved identity.


## Requirements

- Output in the highest artifact-free resolution feasible (4x or better), maintaining original aspect ratio.

- Do not prompt user for decisions; apply autonomous policy above.

- Never remove watermarks, obscure or alter visible logos, tattoos, or identifying marks unless explicit written permission is present in standardized metadata.


## Output Format

- Deliver only the restored high-resolution image file (lossless PNG or high-quality TIFF), using both sRGB and archival color space if possible.

- No commentary, QA JSON, or comparison images.

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