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Jetraw Core — High-speed, high compression ratio RAW image compression for OEMs

Integrate Jetraw Core into your image acquisition or processing pipeline, either as 
FPGA IP Core or
as a software library
Support higher sensor resolution and dynamic range without extra bandwidth
Improve data management
Strict image quality guarantees for robust AI/ML
x = Pixel value
y = Pixel occurrence
Compression ratio
Typically 6:1
Compression speed
FPGA
6.4 Gpx/s
with 32-pixel parallel
Software
6.2 GB/s
(Intel i9 14900k)
Data quality
No artifacts
No bias
No filtering

Future-proof your device for data-centric AI

your data, fit for AI

AI/ML perception systems must be robust, efficient, and adaptable across environments. Using raw images, instead of those processed for human vision, allows engineers to set precise tolerances, optimizing resources while maximizing performance.

comparison to other solutions

Image compression could tackle these, but, currently impose limitations:

Lossy
Lossless
Jetraw
Formats
JPEG2000, JPEG-LS, JPEG-XR
LZF, FLIF, LZ4
Jetraw
Compression ratio
High
Low
High
Fit for AI in critical applications
No
Yes
Yes
Issues
Artifacts in large datasets, compromised outcome validity
Not efficient for AI due to slow transmission speed
Only raw data

WHY RAW FOR AI

Jetraw Core —The first high-ratio image compression with RAW quality control

Jetraw Core is in-camera RAW compression combining the size of lossy formats with the reliability and quality of lossless technologies.

It applies lossless compression to the signal component, following image preparation with lossy compression of the noise. This achieves the highest ratio and the highest quality output on the market.

HOW WE DO IT

Jetraw turns data into measurement by embedding a custom noise model 

based on the sensor’s physical properties. This enables image quality validation and optimization for AI/ML.

Meet Jetraw onboarding team to start your discovery workshop and calculate benefits for your optical system

Enhance your optical systems with advanced and efficient data

6x to speed

Get faster data capture, transmission

Higher throughput

Acquire more data even at a lower bandwidth

Battery life

Reduce energy consumption, prolong battery life

Efficient IT infrastructure

Maximize processing and storage capacities

Reliable data

Improve robustness of your AI/ML models

Costs

Reduce data storage expenses while boosting data access speed

Jetraw Core can be integrated as an FPGA IP Core or as a software library

Integration type
FPGA IP Core
Software
High throughput, low latency, power-efficient RAW compression on FPGA
Fast, easily integrated in-camera RAW compression as a software
Typical compression ratio of 6:1
Indistinguishable from RAW, interoperable
CMOS, sCMOS, CCD camera support
Mono, Bayer and other CFA image sensors support
Tightly-controlled image quality 1.2dB SNR equiv. increase ISO100→ISO115
Image data
  • 16-bit images
  • Configurable image dimensions
RAW image buffer or common file formats
Performance
  • Up to 6.4 Gpx/s with 32-pixel parallel
  • Low latency (~60 clock cycles)
  • Parallel computing of multiple pixels for higher compression throughput
  • 1.6 GB/s (Intel I9 14900K, Windows, 4 threads)
  • Multi-threading support
Integration features
  • Backpressure support
  • From 3421 LUT for single pixel per clock to 94932 for 32 pixels per clock cycles
  • AXI4-stream data interface
  • Available as a software library / codec
  • Callable from C, C++, C#, Java, Python
System support
  • Xilinx FPGAs
  • Intel on request
  • Intel, AMD and ARM CPU support
  • Linux, Windows and Mac support

Address your industry’s challenges with Jetraw Core

Want to learn your benefits? Request a free discovery workshop
Want to learn your benefits? Request a free discovery workshop
Want to learn your benefits? Request a free discovery workshop

“It is extremely appealing for PCO to obtain a compression method that exploits the individual image capture chain of each camera model.”

Gerhard Holst
Head of Science and Research, Excelitas PCO
Integration type
FPGA IP Core
High throughput, low latency, power-efficient raw compression on FPGA
Software
Fast, easily integrated in-camera raw compression as a software
5–10:1 compression ratio
Indistinguishable from raw, interoperable
CMOS, sCMOS, CCD camera support
Mono, Bayer and other CFA image sensors support
No bias, no artifacts, no artificial correlations, no low pass filtering
Tightly-controlled image quality 1.2dB SNR equiv. increase ISO100→ISO115
Image data
  • 16-bit images
  • Configurable image dimensions
Raw image buffer or common file formats
Performance
  • 1 to 32 pixels per clock cycle
  • Up to 200 MHz clock frequency
  • Low latency (~1-line, 2-lines for Bayer)
  • 200MB /s/core
  • Multi-threading support
Integration features
  • Backpressure support
  • This is some text inside of a div block.
  • From 3968 LUT for single core compressor to 70790 for 32 pixels
  • AXI4-stream data interface
  • Available as a software library / codec
  • Callable from C, C++, C#, Java, Python
System support
  • Xilinx FPGAs
  • Intel on request
  • Intel, AMD and ARM CPU support
  • Linux, Windows and Mac support

Take next steps to maximise the value of your image data

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