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If the higher resolution frames are encoded, then N and M might increase.
Due to the large amount of data of 1080p videos, the incoming high-resolution frames are first stored in an off-chip DRAM before being warped.
Consequently, video super-resolution based on AOBMC algorithm can be used both in mono-view and asymmetric stereoscopic video effectively, and when using in the asymmetric stereo video, the high-resolution frames should be achieved first.
Scanning angle was 20 degrees, scan diameter measured 6000 μm, and 20 high-resolution frames were averaged per B-scan.
The high-resolution frame is 480 × 640 pixels.
Super-resolution is an imaging technique that uses multiple low-resolution frames to construct a high-resolution frame.
Finally, all of these difference frames are combined and enlarged back to the high-resolution frame size.
Figure 2 shows a comparison using bicubic interpolation and the super-resolution algorithm to generate a high-resolution frame.
Super-resolution is an imaging technique that leverages motion blur and multiple low-resolution frames to construct a high-resolution frame.
This is an iterative feedback algorithm in which the pixel information of several low-resolution frames is combined to form a single high-resolution frame.
The floating point pixel calculation module performs the algorithm outlined in Figure 1 and writes the resulting high-resolution pixel back to the portion of the M4k memory block reserved for the final high-resolution frame.
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