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Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifacts.
Use the lowest bit depth that can handle all colours in your image, although some image editing programs cannot create 2-bit colour images. If you are converting an image with many colours (perhaps because somebody saved the original as a JPEG, avoid this) to a PNG, you may want to reduce the number of colours at the same time; see Wikipedia ...
For video editing, (for video converting), images are normally compressed directly during the recording process due to the huge file sizes that would be created if they were not, and because the huge storage demands being too cumbersome for the user otherwise. However, the amount of compression used at the recording stage can be highly variable ...
You then get to choose the size of the image you want. Take care when resizing. The only way to make an image smaller is to throw away some of the pixels. If the image contains text, the pixels that get thrown away are not necessarily the ones that a human being would choose. If the top few pixels of the letter d are lost it becomes an a.
Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:
An image file format is a file format for a digital image. There are many formats that can be used, such as JPEG, PNG, and GIF. Most formats up until 2022 were for storing 2D images, not 3D ones. The data stored in an image file format may be compressed or uncompressed.
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