Outline the relationship between compression, lossless & lossy for a digital image.

Compression: This is a process used in computing to reduce the size of a file or data. In the context of digital images, compression is used to minimize the space that the image file takes up without significantly reducing the quality of the image. The main aim of compression is to make file transfer or storage more efficient.

Lossless Compression: This is a type of compression in which the original data can be perfectly reconstructed from the compressed data. In terms of digital images, lossless compression means that the image quality remains the same even after the file size has been reduced. Formats like PNG or TIFF use lossless compression, allowing for higher quality images that are larger in size.

Lossy Compression: This is a type of compression in which some data from the original file (image) is lost. This loss of information is what contributes to the reduced file size. In terms of digital images, this means that the image quality is reduced along with the file size. Formats like JPEG use lossy compression, creating smaller files with a quality that may be lower than the original.

Relationship: The relationship between compression, lossless and lossy for a digital image is that they are all methods used to reduce the size of the image file. The type of compression used (lossless or lossy) will determine the quality of the image after compression. Lossless compression maintains the original quality of the image but doesn't reduce the file size as much as lossy compression. Lossy compression significantly reduces the file size, but also reduces the quality of the image. The choice between lossless and lossy compression depends on the requirements of the use case - if image quality is paramount, lossless is the way to go. If file size is more important, lossy may be a better choice.