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- W4247601675 abstract "This chapter introduces the concept of data compression and also provides a large number of tools to solve the data compression problem. Data compression is one of the enabling technologies for each aspect of the multimedia revolution. The chapter discusses the two major types of compression algorithms: lossless compression and lossy compression. Lossless compression is used for applications that require an exact reconstruction of the original data, while lossy compression is used when the user can tolerate some differences between the original and reconstructed representations of the data. Lossy compression techniques involve some loss of information and data are compressed using lossy techniques generally cannot be recovered or reconstructed exactly. In return for accepting this distortion in the reconstruction, we can generally obtain much higher compression ratios than is possible with lossless compression. An important element in the design of data compression algorithms is the modeling of the data. The chapter provides an overview of how modeling can help in obtaining more compact representations of the data and describes some of the different ways one can view the data to model it." @default.
- W4247601675 created "2022-05-12" @default.
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- W4247601675 date "2006-01-01" @default.
- W4247601675 modified "2023-09-27" @default.
- W4247601675 title "Introduction" @default.
- W4247601675 doi "https://doi.org/10.1016/b978-012620862-7/50001-8" @default.
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