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I want to work on by resolution to improve processing speed. To be able to do image stitching, i need to store previous frames? If yes, then how to store them efficiently? So if you're capturing complete frames, you're stuck with lines. You might be able to get into the guts of the acquisition algorithm and get lines horizontally -- but maybe not, and getting good color resolution may be a challenge.

The output modes have similar properties. So down sampling and then upsampling may be your best bet. Where are you going to store the panoramic view if not in RAM someplace? I strongly suggest that you sit down with a pencil and paper and work this out. You should have an idea of what angle one pixel subtends horizontally. From that you should be able to work out how many of them will fit into degrees.

That'll give you the number of pixels in a line, then you can just multiply that by to find out how many pixels overall. The title I remember from 10 years ago! That'll get you the video part, at least.

NTSC resolution is effectively by It downsampling by 2 in order to save processing time later a good trade-off? Fasten disks to the wall just under it, all the same size. Place balls on the shelf of the same diameter as the disks. Record an image of the setup with the shelf at the horizontal midline from such a distance that it subtends, say, 90 degrees.

Near the center of the image the balls and disks will both look round. What happens near the edges? What does "distortion-free" mean? A "process" lens or a pinhole will render all the disks round and the balls increasingly oblate toward the edges of the image. A lens that renders all the balls round will exhibit barrel distortion.

You will need heuristics that might depend on the subject matter. When I did this with film, I avoided the problem by using only narrow strips from the center of the frames. Good luck. Thanking in anticipation. I can't answer your questions, but I may be able to give you some more information. Sign in Sign in Remember me Forgot username or password? Create account. Receive a notification when a new discussion is started in this forum DSPRelated.

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We present a new 3D Fuzzy Directional 3D-FD algorithm for the denoising of video colour sequences corrupted by impulsive noise. The proposed approach consists of the estimations of movement levels, noise in the neighborhood video frames, permitting to preserve the edges, fine details and chromaticity characteristics in video sequences. Experimental results show that the noise in these sequences can be efficiently removed by the proposed 3D-FD filter, and that the method outperforms other state of the art filters of comparable complexity on video sequences. Skip to main content Skip to sections. This service is more advanced with JavaScript available.


Video Denoising by Fuzzy Directional Filter Using the DSP EVM DM642


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