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Implementing the High Profiles of MPEG-2 & MPEG-4/ H.264 on an FPOA Architecture

Machine Vision Image Processing

MathStar Arrix FPOAs are ideally suited for many DSP-intensive image processing tasks found in machine vision: color space conversion, bayer demosaicing, and flat field error correction in the camera processing chain, JPEG2000 image compression, and sobel edge detection.

• JPEG2000 Encoder
• Color Space Conversion, 4:2:2, 4:2:0
• Flat Field Error Correction
• Sobel Edge Detection
• 2D Convolution Filter
• 2D Image Processing
• Image Scaling
• High Speed Filtering (FIR)
• Fast Fourier Transform (FFT)

Machine Vision Systems Overview

A broad range of inspection and test applications demand fast, flexible machine vision systems, including electronic board assembly inspection, pharmaceutical inspection, and semiconductor test.

Challenges in Machine Vision

The relentless march to higher resolution imaging—4K x 4K pixels in state of the art machine vision—and the rapid growth of “smart cameras” are driving demand for high performance, power efficient computing hardware that supports short product design cycles and provides flexibility to adapt to changing standards.

How Can FPOAs Solve Challenges in Machine Vision?

Operating deterministically at speeds to 1 GHz, and in low power mode at 600 MHz, FPOAs offer up to four times the performance of FPGAs.  FPOAs are ideally suited for many DSP-intensive image processing tasks found in machine vision systems such as: color space conversion, bayer demosaicing, and flat field error correction in the camera processing chain, JPEG2000 image compression, and Sobel edge detection.

Applicable MathStar libraries and IP cores

Library / IP Core	Description	Product Brief
Color Space Conversion	1 Giga sample per second scalable color space conversion IP Core
Flat Field Error Correction	1 Giga sample per second scalable flat field error correction IP Core - includes documentation, design files, test bench and device mapping
JPEG2000 Encoder	JPEG2000 Encoder IP Core that supports up to 200 Mega samples per second.  Supports up to 10 bit monochrome or 8 bit 4:4:4 RGB inputs.
Sobel Edge Detection	1 Giga sample per second scalable Sobel edge detector IP Core - includes documentation, design files, test bench and device mapping

MathStar Application Assessments

If you would like to learn more about MathStar's machine vision applications, please contact your local sales rep today.

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