Image Compression Options


Boost your vision with Gidel's powerful compression algorithms

For over 30 years, Gidel has been innovating real-time image compression for high-end machine vision and imaging applications. Our FPGAbased compression IPs deliver ultra-high throughput (1.2 Gpixels/s+), low latency, and compact footprint, enabling efficient, reliable performance in industrial, medical, and defense imaging systems.

Compression IPs Portfolio:

  • JPEG Encoder IP – Real-time JPEG compression on FPGA with ultra-low latency, adjustable compression, and efficient silicon use.

  • Lossless Compression IP – Preserves full image data with zero quality loss, perfect for precision-critical applications.

  • Quality+ compression IP – Patented, training-based algorithm achieving up to 10:1 compression while preserving and enhancing image SNR, ideal for demanding vision applications.

Gidel’s compression solutions reduce bandwidth, minimize storage, and enhance overall system performance—all in real time.


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    Relevant products

    JPEG Compression

    Real-time JPEG compression for high-performance camera streams

    Lossless compression

    Real-time lossless compression for monochrome, Bayer, RGB and more

    Quality+ Compression

    Real-time compression preserving SNR compared to original image at exceptional compression ratio

    Recording & Streaming Solutions

    Edge Computers

    Modular Imaging & Vision Edge Computers

    Frame Grabbers

    Modular Imaging & Vision Frame Grabbers

    Ultra-Compact FPGA modules

    Modular Imaging & Vision FPGA Modules

    InfiniVision

    Multi Camera Solution

    Technical Resources
    Proc Developer's Kit

    Block Diagram: Example for Compression in the FPGA data flow

    Open
    Compressing image data, not image quality

    As today’s cameras deliver higher resolutions and frame rates and new systems architectures such as vision on the edge have bandwidth limitations, compression becomes a key challenge for advanced image processing applications. But how can the data throughput be reduced without jeopardizing the image and inspection quality?

    Read article
    Related Videos
    Video: Image processing acceleration on NVIDIA Jetson embedded computer

    Demo at the Embedded World 2024 show

    Watch
    Video: Overcoming bandwidth limitations when imaging on the edge

    InVision TechTalk webinar held on September 2023

    Watch

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