Video and Vision Processing Suite IP User Guide

ID 683329
Date 3/30/2025
Public

Visible to Intel only — GUID: mlx1717059796968

Ixiasoft

Document Table of Contents
1. About the Video and Vision Processing Suite 2. Getting Started with the Video and Vision Processing IPs 3. Video and Vision Processing IPs Functional Description 4. Video and Vision Processing IP Interfaces 5. Video and Vision Processing IP Registers 6. Video and Vision Processing IPs Software Programming Model 7. Protocol Converter IP 8. 1D LUT IP 9. 3D LUT IP 10. Adaptive Noise Reduction IP 11. Advanced Test Pattern Generator IP 12. AXI-Stream Broadcaster IP 13. Bits per Color Sample Adapter IP 14. Black Level Correction IP 15. Black Level Statistics IP 16. Chroma Key IP 17. Chroma Resampler IP 18. Clipper IP 19. Clocked Video Input IP 20. Clocked Video to Full-Raster Converter IP 21. Clocked Video Output IP 22. Color Plane Manager IP 23. Color Space Converter IP 24. Defective Pixel Correction IP 25. Deinterlacer IP 26. Demosaic IP 27. FIR Filter IP 28. Frame Cleaner IP 29. Full-Raster to Clocked Video Converter IP 30. Full-Raster to Streaming Converter IP 31. Genlock Controller IP 32. Generic Crosspoint IP 33. Genlock Signal Router IP 34. Guard Bands IP 35. Histogram Statistics IP 36. Interlacer IP 37. Mixer IP 38. Pixels in Parallel Converter IP 39. Scaler IP 40. Stream Cleaner IP 41. Switch IP 42. Text Box IP 43. Tone Mapping Operator IP 44. Test Pattern Generator IP 45. Unsharp Mask IP 46. Video and Vision Monitor Intel FPGA IP 47. Video Frame Buffer IP 48. Video Frame Reader Intel FPGA IP 49. Video Frame Writer Intel FPGA IP 50. Video Streaming FIFO IP 51. Video Timing Generator IP 52. Vignette Correction IP 53. Warp IP 54. White Balance Correction IP 55. White Balance Statistics IP 56. Design Security 57. Document Revision History for Video and Vision Processing Suite User Guide

10.3. Adaptive Noise Reduction IP Functional Description

The Adaptive Noise Reduction IP is a spatial weighted averaging filter that analyzes the scene and correlates similar pixels dynamically while simultaneously generating the weights. The IP uses two look-up tables when correlating the pixels, one for correlating pixel intensities, and the other correlating the spatial distance between the pixels.
Figure 19. Adaptive Noise Reduction IP block diagram

You configure the number of vertical and horizontal taps of the filter independently. Configuring a shorter height reduces the number M20K resources for buffering lines while sacrificing denoising strength.

You calibrate the intensity range lookup table offline by the difference between two video frames with identical content but different temporal noise. You isolate the noise level from the difference and calculate the intensity range look-up table entries. This look-up table allows you to program different denoising strengths across the pixel intensities. For example, you may opt for denoising dark content stronger to reduce shadow noise more aggressively while preserving the details on the mid tones and highlights.

The second look-up table is the spatial distance look-up table that makes the IP more versatile. You program this look-up table to create a weight distribution from the center pixel to the neighboring pixels. You may program a traditional distribution like a Hamming or Hanning window to reduce ringing artifacts. You may also prefer assigning the same value to all entries for a rectangular distribution to maximize denoising capability.

The IP supports 2x2 color filter array images where every other pixel belongs to a different color channel. This parameter changes the spatial distance lookup table coefficient locations corresponding to the taps.

Figure 20. Spatial distance LUT entries overlayed on the spatial distance kernel