Data compression challenge

  • How data compression works and how compression affects quality?

    Any particular compression is either lossy or lossless.
    Lossless compression reduces bits by identifying and eliminating statistical redundancy.
    No information is lost in lossless compression.
    Lossy compression reduces bits by removing unnecessary or less important information..

  • Compressed files require extra memory to decompress; thus, your computer must use more memory to complete the task.
    It can either pause or run into an error when the memory is low.
Data compression offers an attractive approach to reducing communication costs by using available bandwidth effectively.
In this paper we change our approach of looking at how the data can be compressed and move one step further to achieve the data compression which is better than 
Symmetry and asymmetry, in the context of data compression, refer to the time relation between compression and decompression for a given compression algorithm.

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