Products

We are building next-gen imaging software

Our technology delivers visuals that not only look better — they perform better inside your AI pipelines.

Why adopt Enhance Lab’ technology?

  • Better for humans: clean, detailed, natural-looking images.
  • Better for AI: higher accuracy in detection, segmentation, and classification tasks.
  • Better for integration: drop-in modules that fit seamlessly into your existing pipeline.
Low Quality Image High Quality Image
Low Quality Image High Quality Image

An image captured by DJI Mavic Air 2 (altitude 300 m) and a segmentation map by SAM. Tap Enhance to see the result.

Image Enhancement Processor

Full RAW-to-RGB image processing pipeline with 4× digital zoom: achieve hi-end image qualityi with your software across devices.

Features

  • Enhance SR core: 4× zoom, denoising, high-fidelity detail reconstruction
  • Natural color processing, sharpening, and advanced tone mapping
  • Consistent image quality across devices (?) Ensures consistent output image quality regardless of the camera model or ISP processing.
    For example, if your product runs on multiple iPhone models, you can maintain consistent image quality across all devices—including lower-end models that typically produce lower-quality images.

Specs

  • Input: RAW (?) Bayer and Quad Bayer are the two most common color filter arrays used in camera sensors. Both are supported.
    "RAW input" refers to unprocessed data directly from the image sensor.
    burst
  • Output: x4 super-resolved, vivid RGB image
  • Platforms: iOS, Android, Desktop & Cloud

Performance

  • iOS (12 Mpixels / 0.7s on iPhone 15 Pro, 4 Mpixels / 1.4s on iPhone 13)
  • Android (12 Mpixels / 1.7s on Galaxy S24 Ultra, 192 Mpixels / 25s)

Use Cases

  • Drones
    Aerial photography
  • Body cameras
    ️ Smart glasses
  • Document authentication
    Biometrics & Security

iPhone 16 Pro, x20

0.7s, on-device processing
Low Quality Image
High Quality Image

iPhone 16 Pro x4 (left) vs Enhance Lab burst SR (right)

Low Quality Image
High Quality Image

iPhone 16 Pro, x20 (left) vs Enhance Lab burst SR (right)

Google Pixel 9 Pro ×10 optical ×2 digital (left) vs Enhance Lab ×5 optical ×4 digital (right)

2.3s, on-device processing
Low Quality Image
High Quality Image

Samsung Galaxy S24 Ultra ×10 optical ×2 digital (left) vs Enhance Lab ×5 optical ×4 digital (right)

1.7s, on-device processing
Low Quality Image
High Quality Image

iPhone 16 Pro x4 (left) vs Enhance Lab burst SR (right)

0.7s, on-device processing

Video SR

Real-time video super resolution for advanced digital zoom into a region of interest

Features

  • Real-time embedded video processing
  • Enhance SR core: 4× zoom, denoising, high fidelity detail reconstruction
  • Natural color processing, sharpening, basic tone mapping

Specs

  • Input: RAW (?) Bayer and Quad Bayer are the two most common color filter arrays used in camera sensors. Both are supported. "RAW input" refers to unprocessed data directly from the image sensor. video stream
  • Output: x4 super-resolved RGB video (lossless, real-time)
  • Platforms: Android (?) Supported on Qualcomm Snapdragon System-on-Chip (SoC) models 8250 and newer. , Desktop & Cloud

Performance

  • Android: output ROI of 256x144 at 30 FPS — Galaxy S23
  • Desktop: 1280x720 at 160 FPS — Nvidia RTX4090

Use Cases

  • Drones(?) Ultra zoom on ROI (license plates, crack inspections)
  • Smartphone extreme zoom
    Digital binoculars
  • Robotics
    Autonomous Vehicles

Demo

SR core

Core library for multi-frame super resolution.

Features

  • 4× zoom, denoising, high-fidelity detail reconstruction
  • Linear RGB output

Specs

  • Input: RAW (?) Bayer and Quad-Bayer sensors are both supported. burst
  • Output: x4 super-resolved linear RGB image (?) Linear RGB refers to output that retains the sensor’s native color and intensity values, without gamma correction or color space conversion. Customers must apply their own color correction and tone mapping.
  • Platforms: iOS, Android, Desktop & Cloud

Use Cases

  • Smartphone cameras (?) Enhance Lab’s Super-Resolution (SR) core integrates directly into the smartphone’s native camera pipeline to enhance zoom image quality, particularly on lower-end devices.
  • Photo editing software (?) Enhance Lab’s SR core can be embedded into photo editing software or smartphone apps for RAW/DNG support, and is also suitable for integration as an Adobe Lightroom plugin.
  • Offline RAW video processing for professional cinema cameras (?) Enhance Lab’s SR core can be integrated into professional video editing tools to enhance RAW video footage from cinema cameras, including support for platforms like Blackmagic® DaVinci Resolve®

Enhance Bayer video SR vs Enhance quad-Bayer video SR

Low Quality Image
High Quality Image

Google Pixel 9 Pro (left) vs Enhance Lab video SR (right)

Ready to talk?

Want a demo? Tell us about your imaging pipeline. We’ll share a quick assessment and a tailored path to impact.

© 2024 Enhance Lab. All rights reserved.