CivicSetForensic Research
Super-Resolution

Multi-Frame Super-Resolution

Fuse a burst of low-quality frames of the same scene into a single crisp, high-resolution image.

Why single frames fall short

Low-light and low-resolution captures are noisy and soft. A single frame discards the redundant signal spread across a burst. Multi-frame super-resolution aligns and fuses those frames, recovering detail that any one shot lacks.

Core capabilities

Sub-pixel frame alignment
Robust shift-and-add fusion
Denoising through redundancy
Resolution upscaling
Alignment-error reporting
In-process server-side compute

Key benefits

  • Sharper output than any single frame
  • Cleaner detail in low light
  • Reproducible, parameterized runs
  • Explainable alignment metrics
  • No external service or upload

How it works

01
Step 01

Provide frames

Supply a burst of two or more frames of the same scene.

02
Step 02

Align

Frames are aligned to sub-pixel accuracy via cross-correlation shift estimation.

03
Step 03

Fuse

Aligned frames are fused to suppress noise and recover detail.

04
Step 04

Upscale and return

The fused image is upscaled and returned with alignment metrics.

Who it's for

  • Video and imaging engineers
  • Researchers and analysts
  • Teams processing noisy or low-res imagery

Technical characteristics

  • Cross-correlation sub-pixel shift estimation
  • Robust shift-and-add fusion
  • Built on sharp for decode and encode
  • Input and output pixel caps guard resource use
  • Alignment error reported per run

Frequently asked questions

Coming Soon

Two products, in the works

Multi-Frame Super-Resolution and Facial Verification are in active development. Leave your email and be first to know when they launch.