Use deep learning techniques to enhance video frames.Increase video frame rate from 24 and 30 to 60.Remove artificial effects and special effects and recover the original video.Convert regular HD video to 4K and 8K video.Increase video resolution from SD to HD.Frame-by-frame review and individual and group frame analysis to predict the best way to edit video.De-frame by frame noise and increase image detail.Utilizing artificial intelligence techniques and deep learning to increase the quality and magnification of videos.Features and specifications of Topaz Video Enhance AI software The technology is 100% good but the interface is assumning too much situations, and not let to avoid a lot of problems.There is only one way to increase the video frame rate from 24 and 30 to 60 and that is to add new frames among the existing frames. Frame blending and optical flow are two common ways to increase video frame rate, which usually do not work well and make the video artificial. These methods are especially ineffective in videos with animated backgrounds and can cause you problems. Those are my thoughts after maybe 4000 videos processed. Because maybe the picture is clean… but with deinterlacing artifacts, or maybe is well upscaled, but the aspect ratio is not the right and the picture is squeezed. If we mix concepts, 50% of times the results are not improving the original. The deinterlace have to be only deinterlace) I think the problem is the interface should show different stepsġ, input pixel aspect (if not 50% of times we are defforming)Ģ deinterlace (independent of enhancing method. If we have to deinterlace and upscale a video with grain we have to use Dione alghoryhtm that is so bad with the grain… And if we selet proteus or Artemis, the upscale is ok and the degrain is ok, but the deinterlace is destroying the results You are assuming that any video have one problem.īut 90% times the videos have a lot of problems. I want to explain better the issue with the deinterlace.
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