Data Compression
Data compression standards revolve around the applicability and use of various algorithms for lossy and lossless data compression. With modern technology providing ever more information, such as higher quality image data, video recording, and so forth, data compression must be sufficiently advanced to manage this amount of information. Following that, interoperability points toward standardization for widespread data compression techniques and methods. Chief among other benefits, data compressions touts a "reduction of transmission channel bandwidth; reduction of the buffering and storage requirement; reduction of data-transmission time at a given rate."
ISO 15887:2013
Space data and information transfer systems - Lossless data compression
ISO 15887:2013 establishes a source-coding data-compression algorithm applied to digital data and specifies how these compressed data shall be inserted into source packets for retrieval and decoding. Source coding for data compression is a method utilized in data systems to reduce the volume of digital data to achieve benefits in areas including, but not limited to: reduction of transmission channel bandwidth; reduction of the buffering and storage requirement; reduction of data-transmission time at a given rate. The characteristics of source codes are specified only to the extent necessary to ensure multi-mission support capabilities. ISO 15887:2013 does not attempt to quantify the relative bandwidth reduction, the merits of each approach discussed, or the design requirements for coders and associated decoders. Some performance information is included in CCSDS 120.0-G-2. ISO 15887:2013 addresses only Lossless source coding, which is applicable to a wide range of digital data, both imaging and non-imaging, where the requirement is for a moderate data-rate reduction constrained to allow no distortion to be added in the data compression/decompression process. The decompression process is not addressed.
ISO 18381:2013
Space data and information transfer systems - Lossless multispectral and hyperspectral image compression
ISO 18381:2013 establishes a data compression algorithm applied to digital three-dimensional image data from payload instruments, such as multispectral and hyperspectral imagers, and specifies the compressed data format. Data compression is used to reduce the volume of digital data to achieve benefits in areas including, but not limited to: reduction of transmission channel bandwidth; reduction of the buffering and storage requirement; reduction of data-transmission time at a given rate. The characteristics of instrument data are specified only to the extent necessary to ensure multi-mission support capabilities. ISO 18381:2013 does not attempt to quantify the relative bandwidth reduction, the merits of the approaches discussed, or the design requirements for encoders and associated decoders. ISO 18381:2013 addresses only lossless compression of three-dimensional data, where the requirement is for a data-rate reduction constrained to allow no distortion to be added in the data compression/decompression process.
ISO 26868:2009
Space data and information transfer systems - Image data compression
ISO 26868:2009 establishes a data compression algorithm applicable to two-dimensional digital spatial image data from payload instruments and specifies how this compressed data is formatted into segments to enable decompression at the receiving end. Source coding for data compression is a method utilized in data systems to reduce the volume of digital data to achieve benefits in areas including, but not limited to: reduction of transmission channel bandwidth; reduction of the buffering and storage requirement; reduction of data-transmission time at a given rate.
INCITS 223-1995[S2011]
Information Technology √ Data Compression Algorithm √ Adaptive Coding with Embedded Dictionary (DCLZ Algorithm) for Information Interchange (formerly ANSI X3.223-1995 (R2001))
Specifies a lossless compression algorithm to reduce the number of bits required to represent information coded by means of 8-bit bytes. This algorithm is known as DCLZ, which stands for Data Compression according to Lempel and Ziv. (See annex C for refe
INCITS 241-1994[S2008]
Information Systems √ Data Compression Method √ Adaptive Coding with Sliding Window for Information Interchange
Specifies an encoding method for the lossless compression of binary data. Order from: NCITS Storefront: http://www.cssinfo.com/cgi-bin/detail?product_id=56229
INCITS 280-1996[S2011]
Information Technology √ Data Compression Algorithm √ Adaptive Lossless Data Compression (ALDC) Algorithm for Information Interchange (formerly ANSI X3.280-1996 (R2001))
Provides the requirements for a lossless compression algorithm to reduce the number of bytes required to represent data. The algorithm is known as the ALDC (Adaptive Lossless Data Compression) algorithm. The ALDC has been assigned ISO algorithm identifier numbers as follows: History Buffer Size 512-Byte 1024-Byte 2048-Byte Algorithm id number 3 4 5
IEC 61904 Ed. 1.0 b:2000
Video recording - Helical-scan digital component video cassette recording format using 12,65 mm magnetic tape and incorporating data compression (Format digital-L)
Applies to video cassette recording of digital component video signals and associated digital audio and related control signals on 12,65 mm magnetic tape. Specifies characteristics of the cassettes, the tape, the recording patterns, the processes of digital audio and video coding, data compression, error protection and channel coding, all required to ensure interchangeability.
IEC 62356-2 Ed. 1.0 b:2003
"Video recording - 12,65 mm Type D-11 format - Part 2: Picture compression and data stream"
"IEC 62356-2:2011 specifies the compression of a high-definition source format to a dual-channel packetized data stream format which is suitable for recording on disc and tape storage devices including the Type D-11 tape recorder. The specification includes a number of basic packetizing operations including the shuffling of the source data prior to compression, both to aid compression performance and to allow error concealment processing in the decoder. The standard also includes the processes required to decode the compressed Type D-11 packetized data format into a high-definition output signal. This bilingual version, published in 2011-05, corresponds to the English version. It includes corrigendum 1 (2011-05) to the English version. The French version of this standard has not been voted upon."
ISO/IEC 11558:1992
Information technology - Data compression for information interchange - Adaptive coding with embedded dictionary - DCLZ Algorithm
Specifies a lossless compression algorithm (DCLZ - Data Compression according to Lempel and Ziv) to reduce the number of bits required to represent information coded by means of 8-bit bytes. This algorithm is particularly useful when information has to be recorded on an interchangeable medium. Its use is not limited to this application.
ISO/IEC 11576:1994
Information technology - Procedure for the registration of algorithms for the lossless compression of data
Specifies the procedure to be followed by a registration authority in preparing, maintaining und publishing an international register of numeric identifiers allocated to the algorithms, excluding cryptographic ones. Describes in detail: registration authority; sponsoring authorities; registration, withdrawal, correction and revision procedure; early reservation of an identifier. An identifier registered in accordance with this standard serves as an identification of the algorithm associated with it in the register. Apart from such identification, registration does not affect the status of the algorithm concerned.
ISO/IEC 12042:1993
Information technology - Data compression for information interchange - Binary arithmetic coding algorithm
Specifies an algorithm for the reduction of the number of bits required to represent information. This process is known as data compression. The algorithm uses binary arithmetic coding and provides lossless compression and is intended for use in information interchange.
ISO/IEC 15200:1996
Information technology - Adaptive Lossless Data Compression algorithm (ALDC)
Specifies a lossless compression algorithm to reduce the number of bytes required to represent data. The algorithm is known as Adaptive Lossless Data Compression algorithm (ALDC).
ISO/IEC 22091:2002
Information technology - Streaming Lossless Data Compression algorithm (SLDC)
ISO/IEC 22091:2002 specifies a lossless compression algorithm to reduce the number of 8-bit bytes required to represent data records and File Marks. The algorithm is known as Streaming Lossless Data Compression algorithm (SLDC). ISO/IEC 22091:2002 is based on ISO/IEC 15220. It extends that algorithm with the addition of control symbols that allow records of different sizes and compressibility, along with File Marks, to be efficiently encoded into an output stream which requires little or no additional control information for later decoding. The numerical identifier according to ISO/IEC 11576 allocated to this algorithm is 6.
ISO 12639:2004
Graphic technology - Prepress digital data exchange - Tag image file format for image technology (TIFF/IT)
ISO 12639:2004 specifies a media-independent means for prepress electronic data exchange using a tag image file format (TIFF). ISO 12639:2004 defines image file formats for encoding colour continuous-tone picture images, colour line-art images, high-resolution continuous-tone images, monochrome continuous-tone picture images, binary picture images, binary line-art images, screened data, and images of composite final pages.
