NRED1

Noise Reduction Processor

NRED1 employs impulse, spatial and temporal noise reduction techniques along with robust motion detection to achieve the highest quality video possible in the presence of noise. NRED1 enables display processors to provide superior video output and is useful for video compression systems where reducing noise is essential for eliminating unwanted artifacts.
 

Overview

Zoran’s NRED1 Noise Reduction Processor is a silicon-efficient, high-performance Intellectual Property Core for video IC designs requiring noise reduction. NRED1 is based on Zoran’s extensive experience delivering high-quality, high-volume video ICs to major consumer products manufacturers worldwide. NRED1 employs impulse, spatial and temporal noise reduction techniques along with robust motion detection to achieve the highest quality video possible in the presence of noise. NRED1 enables display processors to provide superior video output and is useful for video compression systems where reducing noise is essential for eliminating unwanted artifacts. Zoran’s NRED1 Noise Reduction Processor greatly reduces the risk and time involved when integrating the video noise reduction function into an IC. Expensive, discrete components can be eliminated from system designs. When used in conjunction with Zoran’s Frame-It-1 Deinterlacer, a silicon- and memory-efficient implementation can be achieved for systems requiring progressive output.

Deliverables

  •  Compilable Verilog source code
  •  Bit-accurate, cycle-accurate C++ model
  •  Synopsis synthesis scripts
  •  Test input files
  •  Documentation

    • Features

  • Impulse noise reduction
  • Adaptive spatial noise reduction
  • Motion adaptive temporal noise reduction
  • Robust motion detection
  • 3:2 and 2:2: pulldown detection
  • Silicon-efficient, fully-synchronous design
  • Requires only a single clock input
  • Combinable with Zoran’s Deinterlacer for efficient implementation
  • Process technology independent

    • NRED1 Block Diagram

    NRED1 Block Diagram (GIF)