COMPUTER NETWORKING

Detailed explanation-1: -Lossy compression is typically used when a file can afford to lose some data, and/or if storage space needs to be drastically ‘freed up’. Here, an algorithm scans image files and reduces their size by discarding information considered less important or undetectable to the human eye.

Detailed explanation-2: -The biggest benefit of lossy compression is that it significantly reduces the size of the image file. On the other hand, the biggest disadvantage is that this is achieved with some loss of quality-even though, as we explain, it’s almost imperceptible.

Detailed explanation-3: -Lossy compression reduces an image file size by permanently removing less critical information, particularly redundant data. Lossy compression can significantly reduce file size, but it can also reduce image quality to the point of distortion, especially if the image is overly compressed.

Detailed explanation-4: -By definition, lossy compression removes background data and approximates certain details of an image file-making it smaller and easier to handle, store or send. However, in return for a more manageable file size, you will lose data-permanently-hence the term ‘lossy’.