Video and Vision Processing Suite Intel® FPGA IP User Guide

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ID 683329
Date 12/12/2022
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Document Table of Contents
Document Table of Contents x
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. 3D LUT Intel® FPGA IP 9. AXI-Stream Broadcaster Intel® FPGA IP 10. Chroma Key Intel® FPGA IP 11. Chroma Resampler Intel® FPGA IP 12. Clipper Intel® FPGA IP 13. Clocked Video Input Intel® FPGA IP 14. Clocked Video to Full-Raster Converter Intel® FPGA IP 15. Clocked Video Output Intel® FPGA IP 16. Color Space Converter Intel® FPGA IP 17. Deinterlacer Intel® FPGA IP 18. FIR Filter Intel® FPGA IP 19. Frame Cleaner Intel® FPGA IP 20. Full-Raster to Clocked Video Converter Intel® FPGA IP 21. Full-Raster to Streaming Converter Intel® FPGA IP 22. Genlock Controller Intel® FPGA IP 23. Generic Crosspoint Intel® FPGA IP 24. Genlock Signal Router Intel® FPGA IP 25. Guard Bands Intel® FPGA IP 26. Interlacer Intel® FPGA IP 27. Mixer Intel® FPGA IP 28. Pixels in Parallel Converter Intel® FPGA IP 29. Scaler Intel® FPGA IP 30. Stream Cleaner Intel® FPGA IP 31. Switch Intel® FPGA IP 32. Tone Mapping Operator Intel® FPGA IP 33. Test Pattern Generator Intel® FPGA IP 34. Video Frame Buffer Intel® FPGA IP 35. Video Streaming FIFO Intel® FPGA IP 36. Video Timing Generator Intel® FPGA IP 37. Warp Intel® FPGA IP 38. Design Security 39. Document Revision History for Video and Vision Processing Suite User Guide
1. About the Video and Vision Processing Suite x
1.1. Video and Vision Processing IPs Features 1.2. Device Family Support 1.3. Video and Vision Processing IPs Release Information 1.4. Lite versus Full IP Variants 1.5. Glossary of Video and Vision Terminology
2. Getting Started with the Video and Vision Processing IPs x
2.1. Video and Vision Processing IP Evaluation Time-out Behavior 2.2. Generating a Video and Vision Processing IP 2.3. Simulating the Video and Vision Processing IPs
3. Video and Vision Processing IPs Functional Description x
3.1. Auxiliary Control Packets 3.2. Latency 3.3. IP Debugging Features 3.4. Stall Behavior and Error Recovery 3.5. Avalon Streaming Video Protocol Versus Intel FPGA Streaming Video Protocol
5. Video and Vision Processing IP Registers x
5.1. Video and Vision Processing IP Control Examples
7. Protocol Converter Intel® FPGA IP x
7.1. About the Protocol Converter IP 7.2. Protocol Converter IP Parameters 7.3. Protocol Converter IP Functional Description 7.4. Protocol Converter IP Interfaces 7.5. Protocol Converter IP Registers 7.6. Protocol Converter IP Software API
7.1. About the Protocol Converter IP x
7.1.1. Protocol Converter IP Performance and Resources
8. 3D LUT Intel® FPGA IP x
8.1. About the 3D LUT Intel® FPGA IP 8.2. 3D LUT IP Parameters 8.3. 3D LUT IP Block Description 8.4. 3D LUT IP Registers 8.5. 3D LUT IP Software API
8.1. About the 3D LUT Intel® FPGA IP x
8.1.1. 3D LUT IP Features 8.1.2. 3D LUT IP Performance IP and Resource Information
8.3. 3D LUT IP Block Description x
8.3.1. 3D LUT IP Interfaces 8.3.2. 3D LUT IP Latency
9. AXI-Stream Broadcaster Intel® FPGA IP x
9.1. About the AXI-Stream Broadcaster IP 9.2. AXI-Stream Broadcaster IP Parameters 9.3. AXI-Stream Broadcaster IP Interfaces
9.1. About the AXI-Stream Broadcaster IP x
9.1.1. AXI-Stream Broadcaster IP Features 9.1.2. AXI-Stream Broadcaster IP Performance and Resources
10. Chroma Key Intel® FPGA IP x
10.1. About the Chroma Key IP 10.2. Chroma Key IP Parameters 10.3. Chroma Key IP Interfaces 10.4. Chroma Key Replacement 10.5. Chroma Key IP Registers 10.6. Chroma Key IP Software API
10.1. About the Chroma Key IP x
10.1.1. Chroma Key IP Performance and Resources
11. Chroma Resampler Intel® FPGA IP x
11.1. About the Chroma Resampler IP 11.2. Chroma Resampler IP Parameters 11.3. Chroma Resampler IP Functional Description 11.4. Chroma Resampler IP Registers 11.5. Chroma Resampler IP Software API
11.1. About the Chroma Resampler IP x
11.1.1. Chroma Resampler Performance and Resources
11.3. Chroma Resampler IP Functional Description x
11.3.1. Chroma Resampler IP Interfaces
12. Clipper Intel® FPGA IP x
12.1. About the Clipper IP 12.2. Clipper IP Parameters 12.3. Clipper IP Interfaces 12.4. Clipper IP Registers 12.5. Clipper IP Software API
12.1. About the Clipper IP x
12.1.1. Clipper IP Performance and Resources
13. Clocked Video Input Intel® FPGA IP x
13.1. About the Clocked Video Input IP 13.2. Initializing the Clocked Video Input IP 13.3. Clocked Video Input IP Parameters 13.4. Clocked Video Input IP Interfaces 13.5. Clocked Video Input IP Registers 13.6. Clocked Video Input IP Software API
13.1. About the Clocked Video Input IP x
13.1.1. Clocked Video Input IP Features 13.1.2. Clocked Video Input IP Performance and Resources
14. Clocked Video to Full-Raster Converter Intel® FPGA IP x
14.1. About the Clocked Video to Full-Raster Converter IP 14.2. Clocked Video to Full-Raster Converter Parameters 14.3. Clocked Video to Full-Raster Converter Block Description 14.4. Clocked Video Converter to Full-Raster IP Registers
14.1. About the Clocked Video to Full-Raster Converter IP x
14.1.1. Clocked Video to Full-Raster Converter Features 14.1.2. Clocked Video to Full-Raster Converter Performance and Resources
14.3. Clocked Video to Full-Raster Converter Block Description x
14.3.1. Clocked Video to Full-Raster Converter Interfaces
15. Clocked Video Output Intel® FPGA IP x
15.1. About the Clocked Video Output IP 15.2. Clocked Video Output IP Parameters 15.3. Clocked Video Output IP Functional Description 15.4. Clocked Video Output IP Interfaces 15.5. Clocked Video Output IP Registers 15.6. Clocked Video Output IP Software API
15.1. About the Clocked Video Output IP x
15.1.1. Clocked Video Output IP Performance and Resources 15.1.2. Clocked Video Output IP Features
16. Color Space Converter Intel® FPGA IP x
16.1. About the Color Space Converter IP 16.2. Color Space Converter IP Parameters 16.3. Color Space Converter IP Functional Description 16.4. Color Space Converter IP Registers 16.5. Color Space Converter IP Software API
16.1. About the Color Space Converter IP x
16.1.1. Color Space Converter IP Features 16.1.2. Color Space Converter IP Performance and Resources
16.3. Color Space Converter IP Functional Description x
16.3.1. Color Space Converter IP Interfaces
17. Deinterlacer Intel® FPGA IP x
17.1. About the Deinterlacer IP 17.2. Deinterlacer Parameters 17.3. Deinterlacer Interfaces 17.4. Deinterlacer Registers 17.5. Deinterlacer IP Software API
17.1. About the Deinterlacer IP x
17.1.1. Deinterlacer Performance and Resources
18. FIR Filter Intel® FPGA IP x
18.1. About the FIR Filter 18.2. FIR Filter Parameters 18.3. FIR Filter IP Operation 18.4. FIR Filter Interfaces 18.5. FIR Filter Registers 18.6. FIR Filter IP Software API
18.1. About the FIR Filter x
18.1.1. FIR Filter IP Performance and Resources
18.3. FIR Filter IP Operation x
18.3.1. FIR Filter Processing 18.3.2. FIR Filter Precision 18.3.3. FIR Coefficient Specification 18.3.4. FIR Filter Symmetry 18.3.5. Result to Output Data Type Conversion
18.3.4. FIR Filter Symmetry x
18.3.4.1. No Symmetry 18.3.4.2. Horizontal Symmetry 18.3.4.3. Vertical Symmetry 18.3.4.4. Horizontal and Vertical Symmetry 18.3.4.5. Diagonal Symmetry
19. Frame Cleaner Intel® FPGA IP x
19.1. About the Frame Cleaner IP 19.2. Frame Cleaner IP Parameters 19.3. Frame Cleaner IP Functional Description 19.4. Frame Cleaner IP Interfaces 19.5. Frame Cleaner IP Registers 19.6. Frame Cleaner IP Software API
19.1. About the Frame Cleaner IP x
19.1.1. Frame Cleaner IP Performance and Resources
20. Full-Raster to Clocked Video Converter Intel® FPGA IP x
20.1. About the Full-Raster to Clocked Video Converter 20.2. Full Raster to Clocked Video Converter Parameters 20.3. Full-Raster to Clocked Video Converter Block Description 20.4. Full-Raster to Clocked Video Converter Registers
20.1. About the Full-Raster to Clocked Video Converter x
20.1.1. Full-Raster to Clocked Video Converter Features 20.1.2. Full-Raster to Clocked Video Converter Performance and Resource Utilization
20.3. Full-Raster to Clocked Video Converter Block Description x
20.3.1. Full Raster to Clocked Video Converter Interfaces
21. Full-Raster to Streaming Converter Intel® FPGA IP x
21.1. About the Full-Raster to Streaming Converter IP 21.2. Full-Raster to Streaming Converter Parameters 21.3. Full-Raster to Streaming Converter Block Description
21.1. About the Full-Raster to Streaming Converter IP x
21.1.1. Full-Raster to Streaming Converter Features 21.1.2. Full-Raster to Streaming Converter Performance and Resources
21.3. Full-Raster to Streaming Converter Block Description x
21.3.1. Full-Raster to Streaming Converter Interfaces
22. Genlock Controller Intel® FPGA IP x
22.1. About the Genlock Controller IP 22.2. Genlock Controller IP Parameters 22.3. Genlock Controller IP Functional Description 22.4. Using Genlock Controller IP Software 22.5. Genlock Controller IP Registers 22.6. Genlock Controller IP Software API
22.1. About the Genlock Controller IP x
22.1.1. Genlock Controller IP Performance and Resources
22.3. Genlock Controller IP Functional Description x
22.3.1. Genlock Controller IP Interfaces
22.4. Using Genlock Controller IP Software x
22.4.1. Achieving Genlock Controller Free Running (for Initialization or from Lock to Reference Clock N) 22.4.2. Locking to Reference Clock N (from Genlock Controller IP free running) 22.4.3. Setting the VCXO hold over 22.4.4. Restarting the Genlock Controller IP 22.4.5. Locking to Reference Clock N New (from Locking to Reference Clock N Old) 22.4.6. Changing to Reference Clock or VCXO Base Frequencies (switch between p50 and p59.94 video formats and vice-versa) 22.4.7. Disturbing a Reference Clock (a cable pull)
23. Generic Crosspoint Intel® FPGA IP x
23.1. About the Generic Crosspoint IP 23.2. Generic Crosspoint IP Parameters 23.3. Generic Crosspoint IP Interfaces 23.4. Generic Crosspoint IP Registers 23.5. Generic Crosspoint IP Software API
23.1. About the Generic Crosspoint IP x
23.1.1. Generic Crosspoint IP Features 23.1.2. Generic Crosspoint Performance and Resources
24. Genlock Signal Router Intel® FPGA IP x
24.1. About the Genlock Signal Router IP 24.2. Genlock Signal Router IP Parameters 24.3. Genlock Signal Router IP Interfaces 24.4. Genlock Signal Router IP Registers 24.5. Genlock Signal Router IP Software API
24.1. About the Genlock Signal Router IP x
24.1.1. Genlock Signal Router IP Features 24.1.2. Genlock Signal Router IP Performance and Resources
25. Guard Bands Intel® FPGA IP x
25.1. About the Guard Bands IP 25.2. Guard Bands IP Parameters 25.3. Guard Bands IP Interfaces 25.4. Guard Bands IP Registers 25.5. Guard Bands IP Software API
25.1. About the Guard Bands IP x
25.1.1. Guard Bands IP Performance and Resources
26. Interlacer Intel® FPGA IP x
26.1. About the Interlacer IP 26.2. Interlacer IP Parameters 26.3. Interlacer IP Functional Description 26.4. Interlacer IP Registers 26.5. Interlacer IP Software API
26.1. About the Interlacer IP x
26.1.1. Interlacer IP Performance and Resources
26.3. Interlacer IP Functional Description x
26.3.1. Interlacer IP Interfaces
27. Mixer Intel® FPGA IP x
27.1. About the Mixer IP 27.2. Mixer IP Parameters 27.3. Mixer IP Functional Description 27.4. Mixer IP Registers 27.5. Mixer IP Software API
27.1. About the Mixer IP x
27.1.1. Mixer IP Performance and Resources
27.3. Mixer IP Functional Description x
27.3.1. Mixer IP Interfaces
28. Pixels in Parallel Converter Intel® FPGA IP x
28.1. About the Pixels in Parallel Converter IP 28.2. Pixels in Parallel Converter IP Parameters 28.3. Pixels in Parallel Converter Interfaces 28.4. Pixels in Parallel Converter Registers 28.5. Pixels in Parallel Converter IP Software API
28.1. About the Pixels in Parallel Converter IP x
28.1.1. Pixels in Parallel Converter IP Performance and Resources
29. Scaler Intel® FPGA IP x
29.1. About the Scaler 29.2. Scaler IP Parameters 29.3. Scaler IP Functional Description 29.4. Scaler IP Registers 29.5. Scaler IP Software API
29.1. About the Scaler x
29.1.1. Scaler IP Performance and Resources
29.2. Scaler IP Parameters x
29.2.1. Scaler Maximum Resolution
29.3. Scaler IP Functional Description x
Nearest neighbor Bilinear Polyphase 29.3.1. Coefficient Selection 29.3.2. Coefficient Quantization 29.3.3. Partial Frame Scaling 29.3.4. 422 and 420 Chroma Sampled Data Scaling 29.3.5. Scaler IP Interfaces
29.3.1. Coefficient Selection x
29.3.1.1. Updating Scaler IP Runtime Coefficients
30. Stream Cleaner Intel® FPGA IP x
30.1. About the Stream Cleaner IP 30.2. Stream Cleaner IP Parameters 30.3. Stream Cleaner IP Functional Description
30.1. About the Stream Cleaner IP x
30.1.1. Stream Cleaner IP Performance and Resources
30.3. Stream Cleaner IP Functional Description x
30.3.1. Stream Cleaner IP Interfaces
31. Switch Intel® FPGA IP x
31.1. About the Switch IP 31.2. Switch IP Parameters 31.3. Switch IP Functional Description 31.4. Switch IP Registers 31.5. Switch IP Software API
31.1. About the Switch IP x
31.1.1. Switch IP Performance and Resources
31.3. Switch IP Functional Description x
31.3.1. Switch IP Latency 31.3.2. Switch IP Interfaces
32. Tone Mapping Operator Intel® FPGA IP x
32.1. About the Tone Mapping Operator IP 32.2. TMO IP Parameters 32.3. TMO IP Block Description 32.4. TMO IP Registers 32.5. TMO IP Software API
32.1. About the Tone Mapping Operator IP x
32.1.1. TMO IP Features 32.1.2. TMO IP Performance and Resource Utilization
32.3. TMO IP Block Description x
32.3.1. TMO IP Interfaces 32.3.2. TMO IP Latency
33. Test Pattern Generator Intel® FPGA IP x
33.1. About the Test Pattern Generator IP 33.2. Test Pattern Generator IP Parameters 33.3. Test Pattern Generator IP Functional Description 33.4. Test Pattern Generator IP Registers 33.5. Test Pattern Generator IP Software API
33.1. About the Test Pattern Generator IP x
33.1.1. Test Pattern Generator IP Performance and Resources
33.3. Test Pattern Generator IP Functional Description x
33.3.1. Test Pattern Generator IP Interfaces
34. Video Frame Buffer Intel® FPGA IP x
34.1. About the Video Frame Buffer IP 34.2. Video Frame Buffer IP Parameters 34.3. Video Frame Buffer IP Functional Description 34.4. Video Frame Buffer IP Registers 34.5. Video Frame Buffer IP Software API
34.1. About the Video Frame Buffer IP x
34.1.1. Video Frame Buffer Performance and Resources
34.3. Video Frame Buffer IP Functional Description x
34.3.1. Video Frame Buffer IP Interfaces
35. Video Streaming FIFO Intel® FPGA IP x
35.1. About the Video Streaming FIFO IP 35.2. Video Streaming FIFO IP Parameters 35.3. Video Streaming FIFO IP Interfaces
35.1. About the Video Streaming FIFO IP x
35.1.1. Video Streaming FIFO IP Performance and Resources
36. Video Timing Generator Intel® FPGA IP x
36.1. About the Video Timing Generator IP 36.2. Video Timing Generator IP Parameters 36.3. Video Timing Generator IP Functional Description 36.4. Video Timing Generator IP Interfaces 36.5. Video Timing Generator IP Registers 36.6. Video Timing Generator IP Software API
36.1. About the Video Timing Generator IP x
36.1.1. Video Timing Generator IP Features 36.1.2. Video Timing Generator IP Performance and Resources
37. Warp Intel® FPGA IP x
37.1. About the Warp IP 37.2. Warp IP Parameters 37.3. Warp IP Block Description 37.4. Warp IP Registers 37.5. Warp IP Software API
37.1. About the Warp IP x
37.1.1. Warp IP Features 37.1.2. Warp IP Performance and Resource Utilization
37.3. Warp IP Block Description x
37.3.1. Block Cache Tool 37.3.2. Warp IP Interfaces 37.3.3. Warp IP Latency 37.3.4. External Memory for Warp IP
37.5. Warp IP Software API x
37.5.1. Using Warp IP Software 37.5.2. Warp IP Software Code Examples
38. Design Security x
38.1. Memory Subsystems 38.2. Considering Design Security
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. 3D LUT Intel® FPGA IP
9. AXI-Stream Broadcaster Intel® FPGA IP
10. Chroma Key Intel® FPGA IP
11. Chroma Resampler Intel® FPGA IP
12. Clipper Intel® FPGA IP
13. Clocked Video Input Intel® FPGA IP
14. Clocked Video to Full-Raster Converter Intel® FPGA IP
15. Clocked Video Output Intel® FPGA IP
16. Color Space Converter Intel® FPGA IP
17. Deinterlacer Intel® FPGA IP
18. FIR Filter Intel® FPGA IP
19. Frame Cleaner Intel® FPGA IP
20. Full-Raster to Clocked Video Converter Intel® FPGA IP
21. Full-Raster to Streaming Converter Intel® FPGA IP
22. Genlock Controller Intel® FPGA IP
23. Generic Crosspoint Intel® FPGA IP
24. Genlock Signal Router Intel® FPGA IP
25. Guard Bands Intel® FPGA IP
26. Interlacer Intel® FPGA IP
27. Mixer Intel® FPGA IP
28. Pixels in Parallel Converter Intel® FPGA IP
29. Scaler Intel® FPGA IP
30. Stream Cleaner Intel® FPGA IP
31. Switch Intel® FPGA IP
32. Tone Mapping Operator Intel® FPGA IP
33. Test Pattern Generator Intel® FPGA IP
34. Video Frame Buffer Intel® FPGA IP
35. Video Streaming FIFO Intel® FPGA IP
36. Video Timing Generator Intel® FPGA IP
37. Warp Intel® FPGA IP
38. Design Security
39. Document Revision History for Video and Vision Processing Suite User Guide

29.3. Scaler IP Functional Description

The scaler supports three options for the algorithm that resizes the video fields: nearest neighbor, bilinear and polyphase.

Nearest neighbor

Nearest neighbor is the lowest cost and lowest quality algorithm. Each pixel in the output field is a direct copy of a pixel from the input field, with no filtering or interpolation between pixels. The algorithm repeats or drops input pixels according to the required scaling ratio. If out[i,j] is the pixel value at horizontal position i and vertical position j in the output field. in[x,y] is the pixel value at horizontal position x and vertical position y in the input field. The equation defines the pixel values in the output field:
Equation 3. Nearest Neighbor Equations

The nearest neighbor algorithm requires a line buffer with storage for a single line of the input field to allow for this line to repeat multiple times at the output during upscales. Because nearest neighbor scaling does not involve any interpolation or filtering, the resulting image can have a blocky appearance.

Bilinear

Bilinear scaling offers improved quality compared to nearest neighbor by interpolating between neighboring pixels to remove the blocky look of nearest neighbor scaling. Bilinear scaling is better suited to upscaling (increasing image size) than downscaling (reducing image size). The cut-off frequency of the basic bilinear filter is generally too high to remove all the aliasing artifacts that downscaling can introduce. However, even for upscales the results can look somewhat blurred, with the edges in the image softened.

The bilinear algorithm selects the same input pixel to create each output pixel as the nearest neighbor algorithm. It builds a 2x2 pixel window around the target input pixel, with the target pixel in the top left corner of the window. The floor function calculates the input pixel position (the values of x and y) to give integer indices, as pixels only exist at integer locations. But the integer indices have some error compared to the ideal location that preserves all the fractional position information. For example, if the ideal value before applying the floor function is 1.5, the integer value after applying the floor function is 1, and the error is 0.5. The bilinear algorithm uses the horizontal and vertical position error values, err h and err v respectively, to create coefficients that, when applied to the 2x2 pixel window created around the integer pixel location, produce a resulting pixel that is effectively located at the desired fractional position. The equations show how the values of the coefficients are created and applied to the input window of pixels to create the output pixel.

Equation 4. Bilinear Equations

To calculate the values of err h and err v with exact precision for all possible scaling ratios requires an infinite number of fractional bits in the hardware implementing the mathematics. You must specify via parameters how many fraction bits you want to include for the calculations in the horizontal and vertical directions, frac h and frac v respectively. The IP takes the value for frac h from the Horizontal coefficient fraction bits parameter, and the value for frac v from the Vertical coefficient fraction bits parameter. With the desired level of precision set, the equation shows the values of and

To create the 2x2 pixel window required for the bilinear filter, the bilinear algorithm requires a line buffer with storage for two lines of input video.

Polyphase

The polyphase algorithm requires the most resources, but it produces the highest quality results. It uses interpolation filters that are larger than the 2x2 tap filter used for bilinear scaling. Depending on the coefficients you select, these filters can provide improved frequency response, resulting in less blurring on the edges during upscales, and less aliasing artifacts during downscales. The increased size of the filters requires an increase in the number of input video lines that must be stored to create the vertical window, and increased DSP block (multiplier) usage to implement the filter mathematics.

The polyphase algorithm uses the same initial integer pixel position as nearest neighbor scaling and calculates positional error values in the same way as the bilinear algorithm. However, instead of using these error values directly to calculate the filter coefficients, the polyphase algorithm uses the error values as addresses into horizontal and vertical filter coefficients memories. Each address in the coefficient memory is referred to as a phase (for reasons that are explained in the coefficient selection section) and you define the number of horizontal and vertical phases, num_phase h and num_phase v respectively, via parameters. The Number of horizontal phases parameter sets the value for num_phase h and the Number of vertical phases parameter sets the value for num_phase v . The equation shows the horizontal phase, phase h , and the vertical phase, phase v , for each output pixel:

Equation 5. Phase Equations

You define the number of taps used in the horizontal and vertical scaling filters (num_taps h and num_taps v respectively). The number of taps can be any value between 4 and 64. A higher number of taps can allow for a more precise filter transfer function but comes at the cost of extra DSP block utilization and, in the case of the vertical filter, increased block memory utilization in the line buffer required to create the vertical sample window. Each vertical or horizontal phase in the coefficient memory contains one coefficient for each tap of the vertical or horizontal filter.

The scaler implements the vertical scaling function first (if selected), followed by the horizontal scaling function (if selected). The result of the vertical scaling is an intermediate image with the desired output height but retaining the original input width. If inter[x,j] as the pixel value in the intermediate image at horizontal position x and vertical position j, and coeff f v [n] as the vertical scaling filter coefficient for tap N (selected from phase v ), the equation shows how the IP calculates the intermediate image. The filter taps are indexed with 0 the ‘oldest’ data (closest to the top edge of the image) and num_taps v - 1 the newest data (closest to the bottom edge of the image).

Equation 6. Intermediate Image Equation

If coeff f h [n] is the horizontal scaling filter coefficient for tap N (selected from phase v ), the equation shows how the IP calculates the final output image from the intermediate image. The filter taps are again indexed with 0 the oldest data (closest to the left edge of the image) and num_taps h - 1 the newest data (closest to the right edge of the image)

Equation 7. Final Output Image Equation


Section Content
Coefficient Selection
Coefficient Quantization
Partial Frame Scaling
422 and 420 Chroma Sampled Data Scaling
Scaler IP Interfaces

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