Image Compression IPs

Gidel FPGA-based image compression IPs deliver real-time compression for high-end imaging and vision applications. Designed for ultra-high throughput, low latency, and efficient FPGA resource utilization, they help reduce bandwidth, storage, and system bottlenecks in industrial, medical, defense, and scientific imaging systems.

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Compression IPs: Overview

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 Imaging & Vision applications.

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

JPEG

Real-time JPEG Compression for High-Performance Camera Streams

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Lossless

Real-Time Lossless Compression for Monochrome, Bayer, RGB and more

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Quality+

Real-Time Compression with:
Improved SNR at 10:1+ Compression

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Modular Compression IPs

Flexible Real-Time FPGA Image Compression IPs

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Mini Edge AI Systems

Compact NVIDIA Jetson with Built-In FPGA Frame Grabbers

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Frame Grabbers

High-Bandwidth PCIe Frame Grabbers

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Gidel ultra-compact FPGA modules with Arria 10 and Stratix 10N displayed against a digital network connectivity background

Mini FPGA Modules

Ultra-Compact and Powerful FPGA Modules

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InfiniVision

Multi Camera Acquisition Solution

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Technical Resources

Block Diagram: Example for Compression in the FPGA data flow

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?

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