Skip to main content

Real-Time FPGA JPEG Encoder for Camera Streams

  • Real-time JPEG compression directly on FPGA
  • Low-latency compression for high-performance camera streams
  • Reduced bandwidth, storage, and host CPU load
  • Compact FPGA resource usage
  • Selectable JPEG compression quality
  • Suitable for FPGA-based frame grabbers and embedded imaging systems
  • Supports multiple encoder instances on larger FPGA devices
  • Optimized for moving camera and high-throughput acquisition applications

JPEG Encoder on FPGA for High-Speed Imaging

Gidel’s JPEG encoder performs real-time image compression directly on the FPGA, enabling high-speed camera acquisition with low latency, reduced bandwidth, and minimal host CPU load.

Designed for Imaging & Vision systems, the JPEG encoder IP supports YCbCr input with optional conversion from RGB, Bayer, or monochrome formats. Compression quality is selectable, allowing users to balance image quality, bandwidth, and storage requirements for JPEG or JPG image output according to the application.

The encoder is optimized for compact FPGA implementation, making it suitable for small FPGA devices, FPGA-based frame grabbers, and multiple parallel encoder instances on larger FPGA platforms. It includes a host interface and API suite for software integration.

Example performance includes 4:2:2 encoding at 540 MPixels/s and up to 1.84 GPixels/s, with latency as low as 130 μs. Standard operation supports 8 bits per component, with higher bit-depth options available on request.

FPGA Integration Across Gidel Imaging Platforms

Gidel integrates the JPEG encoder across its FPGA-based Imaging & Vision platforms. These include FantoVision Mini Edge AI Systems, High-Bandwidth PCIe Frame Grabbers, FPGA Compute Accelerators, and Ultra-Compact FPGA Modules.

The FPGA compresses image data before sending it to the host system. As a result, the encoder reduces bandwidth, storage requirements, and CPU load. It also preserves host resources for downstream processing, analysis, and AI applications.

Related Products

FAQ

Quote