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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
31.4.1. Achieving Genlock Controller Free Running (for Initialization or from Lock to Reference Clock N)
31.4.2. Locking to Reference Clock N (from Genlock Controller IP free running)
31.4.3. Setting the VCXO hold over
31.4.4. Restarting the Genlock Controller IP
31.4.5. Locking to Reference Clock N New (from Locking to Reference Clock N Old)
31.4.6. Changing to Reference Clock or VCXO Base Frequencies (switch between p50 and p59.94 video formats and vice-versa)
31.4.7. Disturbing a Reference Clock (a cable pull)
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43.3. TMO IP Block Description
The IP accepts RGB-format video input as an Intel FPGA video streaming interface, statistically analyses image content (locally and globally), and dynamically enhances the luma range to improve overall image contrast. This IP enhances input video frame imagery into a well-lit and detailed image.
Figure 120. TMO IP High-level block diagram.
The TMO IP consists of several blocks for video processing, memory, and control. The video datapath includes a luma extractor, image statistics calculator, a soft-processor-based mapping LUT generator, CPU register interface, a contrast enhancement engine, and an image enhancer.
The luma extractor takes an RGB input frame, analyzes it, and extracts luminance. The image statistics calculator takes luma information contained in a video frame and provides a set of global and local statistic parameters regarding the contrast information on the input video frame.
The IP collects local information about the input images in different regions on a video frame, providing the necessary granularity to properly enhance contrast in areas within the video frame that need to be adjusted.
The soft-processor-based mapping LUT generator takes the data gathered from the image statistics calculator block and generates a set of mapping transfer functions. The IP temporarily stores the mapping transfer functions in LUTs to reduce resource utilization footprint.
The contrast enhancement engine applies different amounts of mapping transfer functions in different regions of a video frame, providing the necessary granularity to properly enhance contrast in areas within the frame that you need to adjust. The TMO IP does not use external video frame buffers. Consequently, the contrast enhancement process that the IP applies to the current frame uses statistical information it collects from the previous video frame.
The image enhancer takes the image statics information gathered from the input video frame and with the generated mapping transfer function, it enhances the luma range. The image enhancer calculates a set of weights that it applies to the input RGB data to generate contrast enhanced RGB output video streams.
The embedded Nios® V/g processor used as a mapping LUT generator, is packaged as part of the TMO IP, and customers do not have direct access to it. An external Avalon memory-mapped processor control interface allows you to interact and configure TMO IP, giving them access to the control registers. Because of a higher level of abstraction, a set of software APIs allow you to easily configure and interact with the IP.
You need to get the free license for the Nios V processor to compile the design in Intel Quartus Prime software.
Figure 121. Graphical description of a tile-based histogram generationThe figure shows a graphical description of the tile-based approach, explicitly showing tiles boundaries. Tile boundaries are not visible when you operate the TMO IP. The figure shows them only to demonstrate the IP operation.
