Computer Science Compression Quiz

What are the principles of lossy compression?

• Reducing file size by removing unnecessary data and approximating original data during compression.

• Reducing file size by keeping all the unnecessary data and approximating original data during compression.

• Reducing file size by adding unnecessary data and approximating original data during compression.

• Increasing file size by adding unnecessary data and approximating original data during compression.

Explain the concept of lossiness in compression.

• Lossiness in compression refers to the permanent removal of data from the original file, resulting in a smaller file size but a loss of information or quality.

• Lossiness in compression refers to the encryption of data in the original file, resulting in a more secure file.

• Lossiness in compression refers to the duplication of data in the original file, resulting in a larger file size.

• Lossiness in compression refers to the temporary removal of data from the original file, which can be recovered later.

What is the main goal of lossy compression?

• Improve file quality by enhancing important data.

• Preserve all data without any reduction.

• Reduce file size by removing less important or less noticeable data.

• Increase file size by adding more data.

Name one common lossy compression algorithm.

• TIFF

• GIF

• JPEG

• PNG

What is the difference between lossy and lossless compression?

• Lossy compression reduces file size by converting the data to a different format, while lossless compression reduces file size by converting the data to a lower resolution.

• Lossy compression reduces file size by compressing the data, while lossless compression reduces file size by encrypting the data.

• Lossy compression reduces file size by removing some data, while lossless compression reduces file size by rearranging the data.

• Lossy compression sacrifices some data to reduce file size, while lossless compression reduces file size without sacrificing any data.

What are some advantages of lossy compression?

• Lossy compression has no effect on file size and keeps all information intact.

• Lossy compression increases file size by duplicating certain information that is deemed more important or noticeable to the human eye or ear.

• Lossy compression only removes information that is deemed less important or noticeable to the human eye or ear temporarily, and it can be easily recovered.

• Lossy compression reduces file size by permanently removing certain information that is deemed less important or noticeable to the human eye or ear.

What are some disadvantages of lossy compression?

• Loss of data and reduction in quality

• Increase in file size

• Loss of detail

• Incompatibility with certain devices

How does lossy compression achieve higher compression ratios compared to lossless compression?

• By removing redundant data

• By using more advanced algorithms

• By compressing data in a lossy format

• By discarding less important or less noticeable data

What is the trade-off between compression ratio and quality in lossy compression?

• As the compression ratio increases, the quality of the compressed data decreases.

• As the compression ratio increases, the quality of the compressed data improves.

• Compression ratio and quality are not related in lossy compression.

• Higher compression ratio leads to higher quality in lossy compression.

Give an example of a real-world application that uses lossy compression.

• Text compression

• Image compression

• Audio compression

• Video compression