Video and Image Processing Suite User Guide

ID 683416
Date 4/04/2022
Document Table of Contents

15.2.4. Motion Adaptive High Quality (Sobel Edge Interpolation)

Motion Adaptive High Quality (Sobel edge interpolation) is the highest quality algorithm, applying a merged bob and weave based upon the amount of motion detected, and in areas of high motion applying a Sobel-based edge detection algorithm to interpolate between two pixels.

Figure 56. Sobel Edge DetectionThe figure shows the kernel of pixels from which an interpolation decision is made.
  • For the pixel being generated, P, in a missing line, N, from the current frame being generated, a kernel of 20 pixels is examined from lines N–3, N–1, N+1 and N+3.
  • These 20 pixels are used to generate 7 smaller kernels over which Sobel transforms are performed (two of these are highlighted in yellow and red in the figure above).
  • The Sobel transforms produce 7 motion vectors (as indicated by the arrows in the figure above), each comprised of a direction and magnitude.
  • The deinterlacer uses this information to make the best possible interpolation over a wide kernel of 34 pixels taken from lines N-1 and lines N+1.
    Figure 57. Sobel-based Edge Interpolation

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