Compression algorithms reduce the size of data files by eliminating redundancies, making data storage and transmission more efficient. They are categorized into lossless and lossy types, ensuring either perfect data reconstruction or acceptable quality loss for significant size reduction.

Compression Algorithms

Compression algorithms

data files

eliminating redundancies

Data storage refers to the recording, preservation, and retrieval of digital information, which is critical for both personal and organizational operations. It encompasses various technologies and methodologies to ensure data integrity, accessibility, and security over time.

data storage

Data transmission is the process of sending digital or analog data over a communication medium to one or more devices, ensuring accuracy and integrity during the transfer. It is fundamental to modern communication systems, enabling the exchange of information across networks and supporting various applications from internet browsing to telecommunication services.

Data Transmission

Lossless types

lossy types

Data reconstruction involves the process of recovering or recreating data from incomplete, corrupted, or missing datasets to restore the original information. It is crucial in fields like data recovery, image processing, and scientific research where data integrity and accuracy are paramount.

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