Which type of compression removes redundant data?

Which type of compression removes redundant data?

• A. Lossless compression
• B. Bitmapped compression
• C. Lossy compression
• D. Vector compression

Answer: (C)

The type of compression that removes redundant data is lossless compression. This method efficiently reduces file size without sacrificing any information or quality. It works by identifying and eliminating redundancy in the data, allowing the original data to be perfectly reconstructed when needed. Techniques like Run-Length Encoding or Huffman Coding, commonly used in lossless compression, enable this kind of optimization, making it particularly useful for text files, certain image formats (like PNG), and other scenarios where maintaining original quality is crucial. In contrast, lossy compression sacrifices some data and quality for greater file size reduction, which primarily focuses on perceptually less important information (as seen in formats like JPEG and MP3). Bitmapped and vector compression refer to specific types of image data handling and do not inherently focus on removing redundant data in the same way lossless compression does.

The type of compression that removes redundant data is lossless compression. This method efficiently reduces file size without sacrificing any information or quality. It works by identifying and eliminating redundancy in the data, allowing the original data to be perfectly reconstructed when needed. Techniques like Run-Length Encoding or Huffman Coding, commonly used in lossless compression, enable this kind of optimization, making it particularly useful for text files, certain image formats (like PNG), and other scenarios where maintaining original quality is crucial.

In contrast, lossy compression sacrifices some data and quality for greater file size reduction, which primarily focuses on perceptually less important information (as seen in formats like JPEG and MP3). Bitmapped and vector compression refer to specific types of image data handling and do not inherently focus on removing redundant data in the same way lossless compression does.