Video and Vision Processing Suite Intel® FPGA IP User Guide

ID 683329
Date 9/30/2024
Public
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 Intel® FPGA IP 8. 1D LUT Intel® FPGA IP 9. 3D LUT Intel® FPGA IP 10. Adaptive Noise Reduction Intel® FPGA IP 11. Advanced Test Pattern Generator Intel® FPGA IP 12. AXI-Stream Broadcaster Intel® FPGA IP 13. Bits per Color Sample Adapter Intel® FPGA IP 14. Black Level Correction Intel® FPGA IP 15. Black Level Statistics Intel® FPGA IP 16. Chroma Key Intel® FPGA IP 17. Chroma Resampler Intel® FPGA IP 18. Clipper Intel® FPGA IP 19. Clocked Video Input Intel® FPGA IP 20. Clocked Video to Full-Raster Converter Intel® FPGA IP 21. Clocked Video Output Intel® FPGA IP 22. Color Plane Manager Intel® FPGA IP 23. Color Space Converter Intel® FPGA IP 24. Defective Pixel Correction Intel® FPGA IP 25. Deinterlacer Intel® FPGA IP 26. Demosaic Intel® FPGA IP 27. FIR Filter Intel® FPGA IP 28. Frame Cleaner Intel® FPGA IP 29. Full-Raster to Clocked Video Converter Intel® FPGA IP 30. Full-Raster to Streaming Converter Intel® FPGA IP 31. Genlock Controller Intel® FPGA IP 32. Generic Crosspoint Intel® FPGA IP 33. Genlock Signal Router Intel® FPGA IP 34. Guard Bands Intel® FPGA IP 35. Histogram Statistics Intel® FPGA IP 36. Interlacer Intel® FPGA IP 37. Mixer Intel® FPGA IP 38. Pixels in Parallel Converter Intel® FPGA IP 39. Scaler Intel® FPGA IP 40. Stream Cleaner Intel® FPGA IP 41. Switch Intel® FPGA IP 42. Text Box Intel® FPGA IP 43. Tone Mapping Operator Intel® FPGA IP 44. Test Pattern Generator Intel® FPGA IP 45. Unsharp Mask Intel® FPGA IP 46. Video and Vision Monitor Intel FPGA IP 47. Video Frame Buffer Intel® FPGA IP 48. Video Frame Reader Intel FPGA IP 49. Video Frame Writer Intel FPGA IP 50. Video Streaming FIFO Intel® FPGA IP 51. Video Timing Generator Intel® FPGA IP 52. Vignette Correction Intel® FPGA IP 53. Warp Intel® FPGA IP 54. White Balance Correction Intel® FPGA IP 55. White Balance Statistics Intel® FPGA IP 56. Design Security 57. Document Revision History for Video and Vision Processing Suite User Guide

13.3. Bits per Color Sample Adapter IP Dithering Functional Description

Dithering operates differently for dithering upwards (input BPS > output BPS) and dithering downwards (input BPS < output BPS). The IP offers three types of dither: additive, subtractive, or combined.

Dithering Upwards

The IP processes the dithering upwards after shifting the value to the desired output BPS.

Figure 27. Types of Dithering (Upwards)

Dithering Downwards

The IP processes the dithering upwards before shifting the value to the desired output BPS.

Figure 28. Types of Dithering (Downwards)

Fixed LSFR Seed Value

Linear feedback shift registers (LSFR) generate pseudo-random numbers for the noise. For the largest screen without creating a repeating pattern, a minimum size of 32 shift registers is required. The IP implements a size of 33 shift registers to reduce number of taps required and increases the maximum frequency of the LFSR. The Fibonacci LFSR has tap points at bit 0 and bit 13.

The IP gets the noise bits by masking the random number generated such that only the number of bits required shows. The MSB of the number generated then determines the operation (addition or subtraction).

Figure 29. Noise Selection

The number of masking bits is the sum of mask for each individual color plane. The IP packs it in the order of the color plane number (i.e. first few bits is for color plane 0 and color plane 1, etc.). The IP uses this packing order for the sign bits. The IP interprets the sign bits as if you assert it as additive, otherwise it is subtractive. The LFSR value is reset to the value in the Fixed LSFR Seed.

Figure 30. Noise Masking

The Fixed LSFR Seed value that you select is the most significant 30-bits. The least significant 3-bit remainder is determined by the pixel-in-parallel number. The pixel in parallel calculation is then more efficient as it does not require and adder to calculate the PIP seed.

Figure 31. Fixed LSFR Seed Value