![]() ![]() If you’re new to editing digital images, resizing can be a frustrating experience. Additionally, when you reduce the frame size using this method, moiré patterns and other unwanted effects are much less likely to appear than for the other three methods, which can cause thin lines on your video to look broken and have an irregular thickness Best quality will maintain the integrity of the thin lines.How to resize an image without losing quality online When you increase the frame size, the image is smoothed and there is no pixelation. This process works much more slowly, but the quality of the output video is higher. The default mode in Movavi Video Converter is Good since it provides good balance between speed and quality.īest (Slow) – uses bicubic interpolation. You will likely only see a difference if you change the resolution considerably. Good will work a bit faster than High and provide a somewhat lower image quality (as it is evident from their names), but in reality the difference is almost unnoticeable. The pixelation is still visible at larger frame sizes, but, in general, the image looks smoother. They work a little more slowly but provide a better video quality than the draft mode. ![]() Good (Fast) and High (Medium) – both of these modes use bilinear interpolation. When you increase the frame size, there will likely be visible pixelation effects. It works fairly quickly, but the quality of the output video is reflected in the speed. Low (Draft) – this mode uses the nearest-neighbor interpolation method. When you select these options, you are simply reducing the original width and height of your video by a factor of two or four. ½ of original size and ¼ of original size So, in this case, you only need to downscale a video that is too big for your device resolution – and this is where Up to size can help you! Increasing the video resolution during the conversion process simply adds unnecessarily to the size of the video without improving the quality. These clips can be correctly displayed on your device at their current size. However, for 640 × 480 and 800 × 600 videos, this kind of resizing is pointless for two reasons: If you manually set the 800 × 600 output resolution or use Smart fit, all three clips will be resized – the resolution of the first two clips will be enlarged, and for the third it will be reduced. For example, imagine you are converting video for a mobile device with an 800 × 600 screen and you have three clips: 640 × 480, 800 × 600, and 1920 × 1080. Just imagine that you have a number of video clips, all with different resolutions, and you need to set a limit on their width and height during the conversion process. “But how can it help me with processing video?” you may be asking yourself. If you try to set a higher resolution, the resulting video will still have the same size as the original. ![]() The size calculation is exactly the same as for the Smart fit tool, but, using this method, you can’t enlarge the original frame size. When you play the resulting clip, you’ll find that the image looks exactly the same as the original, with no stretching or black bars around the clip. In this case, the output size will be 960 × 720.Īs you can see, the aspect ratio of the output video is still 4:3. The size of the output video will be calculated as the size of the largest possible rectangle that fits inside the 1280 width and 720 height and retains the aspect ratio of the original video. ![]()
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