Computational Photography

GPU-accelerated denoising, upscaling, and artifact fixing at scale.

Services › Data Analysis & Mapping › Computational Photography

Our compute pipeline processes about 20GB of compressed RAW files per shoot through about 300GB of scratch disk space, delivering final exports from 800MB to 5GB per file.

GPU-accelerated denoising, upscaling, and artifact fixing using RTX 3070 + workstation-grade hardware.

Before and after comparison of computational photography workflow showing denoised and upscaled image detail, deep navy and warm white color tones, recommended 16:9 aspect ratio at 3840x2160 resolution

Our Pipeline

  1. Raw Capture. RAW and D-Log/M 10-bit from all cameras.
  2. Consolidation. Shot types organized into manageable folder architecture.
  3. Alignment. Precision image alignment for multi-shot compositions.
  4. Artifact Fixing. Manual and automated artifact removal.
  5. Denoising. GPU-accelerated noise reduction.
  6. Upscaling. Resolution enhancement while preserving detail.
  7. Export. 8-bit/16-bit standard or HDR 16-bit to 32-bit.

Hardware

System Specs
Primary Workstation R9 7950X, RX 9070 XT, 96GB DDR5
Secondary PC RTX 3070, 32GB DDR4, i9-10900K
Software Adobe Lightroom, custom stitching pipelines

Pricing

Package Price
Computational Photography Per quote

Per quote. Depends on data volume and processing complexity. Available as an add-on to any photography package.