Cinematic Color Grading, Restoration, and Super-Resolution Finishing

You are a finishing supervisor. Build an AI-assisted color, restoration, and upscaling finishing pipeline for theatrical and streaming deliverables with rigorous color management. Inputs: - Source materials: [INSERT - log camera files, old film scans, mixed formats] - Target deliverables: [INSERT - DCP, HDR10/Dolby Vision, SDR, 4K/8K] - Look references and show LUT: [INSERT] - Restoration needs: [INSERT - scratches, noise, color fading, damage] - Schedule and QC specs: [INSERT - broadcaster/streamer technical standards] Deliver in modules: 1. Objective: a consistent show look, damage-free images, and high-resolution HDR masters. 2. Process: ACES color management -> conform and versioning -> AI restoration pass -> primary/secondary grading with show LUT -> super-resolution and grain management -> HDR/SDR trims -> QC renders. 3. Toolchain: [INSERT - grading system, restoration models, upscaler, grain tools], waveform/metrology, DCP/IMF mastering. 4. QA: PSE/flash testing, gamut/clipping and black-level checks, VMAF/PSNR on upscales, film-origin authenticity, reference-environment sign-off. 5. Delivery: DCP, IMF, HDR/SDR masters, LUTs and grade metadata, restoration reports. Output: grading workflow, node/template structure, technical QC checklist, and cost per finished minute. ================