Lossless Compression Methods Quiz

What are the two main types of compression discussed in the video?

• ASCII and Binary

• Lossy and Lossless

• Dictionary and Run Length

• Text-based and Image-based

Which type of compression is ideal for text-based documents?

• Lossy compression

• Run Length encoding

• Dictionary coding

• Bitmap compression

What does the compressed file consist of in dictionary coding?

• None of the above

• Both the dictionary index and the sequence of occurrences

• Only the sequence of occurrences

• Only the dictionary index

How many bits are needed to store the numbers 1 to 17 in binary?

• 6 bits

• 4 bits

• 7 bits

• 5 bits

What is the compression ratio achieved for the original message using dictionary coding?

• Compressed to 27% of its original size

• Compressed to 30% of its original size

• Compressed to 50% of its original size

• Compressed to 20% of its original size

What type of compression is ideal for bitmap images?

• Run Length encoding

• Text-based compression

• Dictionary coding

• Lossy compression

How is the image encoded in run length encoding with a color depth of one bit?

• 1 for white and 0 for black

• 0 for white and 1 for black

• 1 for black and 0 for white

• 0 for black and 1 for white

What information is stored in frequency data pairs in run length encoding?

• Total number of pixels in the image

• Color of each pixel

• Position of each pixel

• Contiguous pixels of the same color

What is the main difference between dictionary coding and run length encoding?

• Dictionary coding is lossy compression, while run length encoding is lossless compression

• Dictionary coding uses ASCII encoding, while run length encoding uses binary encoding

• Run length encoding is for text-based files, while dictionary coding is for images

• Dictionary coding is for text-based files, while run length encoding is for images

How does dictionary coding work?

• By encoding the image with a color depth of one bit

• By storing the binary for each pixel

• By compressing the message to 27% of its original size

• By building an index and recording the sequence of occurrences