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CSA ISO/IEC 14495-2

Information technology - Lossless and near-lossless compression of continuous-tone still images: Extensions

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Organization: CSA
Publication Date: 1 January 2004
Status: active
Page Count: 66
ICS Code (Information coding): 35.040
scope:

This Recommendation | International Standard defines a set of lossless (bit-preserving) and nearly lossless (where the error for each reconstructed sample is bounded by a predefined value) compression methods for coding continuous-tone (including bi-level), gray-scale, or colour digital still images.

This Recommendation | International Standard:

- specifies extensions (including arithmetic coding, extension of near lossless coding, extension of prediction and extension of Golomb coding) to processes for converting source image data to compressed image data;

- specifies extensions to processes for converting compressed image data to reconstructed image data including an extension for sample tranformation for inverse colour transforms;

- specifies coded representations for compressed image data;

- provides guidance on how to implement these processes in practice.

Document History

CSA ISO/IEC 14495-2
January 1, 2004
Information technology - Lossless and near-lossless compression of continuous-tone still images: Extensions
This Recommendation | International Standard defines a set of lossless (bit-preserving) and nearly lossless (where the error for each reconstructed sample is bounded by a predefined value)...
January 1, 2004
Information technology Lossless and near-lossless compression of continuous-tone still images: Extensions
This Recommendation | International Standard defines a set of lossless (bit-preserving) and nearly lossless (where the error for each reconstructed sample is bounded by a predefined value)...
January 1, 2004
Information technology - Lossless and near-lossless compression of continuous-tone still images: Extensions
This Recommendation | International Standard defines a set of lossless (bit-preserving) and nearly lossless (where the error for each reconstructed sample is bounded by a predefined value)...

References

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