Resampling is a term you will often come across in video editing. It is a process of changing the size, frame rate or resolution of a video to match the requirements of different devices or platforms. In this article, we will discuss what resampling is in video editing and how it affects your final output.
What is Resampling?
Resampling refers to the process of changing the size or resolution of an image or video. When you resample an image, you either increase or decrease its pixel count, which can result in changes to the overall quality and sharpness. In video editing, resampling refers to changing the frame rate, resolution or both of a video.
Why Do We Need Resampling?
The need for resampling arises when you want your video to be played on different devices with varying screen sizes and resolutions. For instance, if you create a video for YouTube, it needs to be optimized for playback on desktops, laptops and mobile devices. Similarly, if you create a video for television broadcast, it needs to be optimized for different screen sizes and resolutions.
The Effects of Resampling
When you resample a video by increasing its resolution or frame rate, it can lead to better quality output. However, when you reduce its size or frame rate, it can result in blurry images and choppy playback.
Resampling also affects file size. An increase in resolution leads to an increase in file size while reducing the file size leads to compression which can lead to loss of quality as well.
Types of Resampling
There are two types of resampling:
Upscaling refers to increasing the resolution of a video by adding pixels that were not present in the original footage. This technique results in better image quality but can also lead to an increase in file size.
Downscaling, on the other hand, refers to reducing the size of a video by removing pixels from the original footage. This technique results in smaller file sizes but can also lead to a reduction in image quality.
There are various resampling techniques used in video editing. Some of them are:
1) Nearest Neighbor
This technique is the simplest and fastest way to resample an image or video. It involves copying the nearest pixel value to fill in the gaps when resizing an image.
2) Bilinear Interpolation
Bilinear interpolation is a more advanced technique that uses four neighboring pixels to calculate new pixel values. It creates smoother results compared to nearest neighbor but is slower.
3) Lanczos Interpolation
Lanczos interpolation is more complex than bilinear interpolation and uses more neighboring pixels for calculating new pixel values. It creates sharper and better quality images but is slower than bilinear interpolation.
In conclusion, resampling plays an important role in video editing as it allows you to optimize your videos for different devices and platforms. However, it’s important to keep in mind that resampling can affect the quality of your video, so it’s essential to use proper resampling techniques based on your requirements.