Information Technology - Lossless and Near-Lossless Compression of Continuous-Tone Still Images: Extensions (Adopted ISO/IEC 14495-2:2003 , second edition, 2003-04-01)
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Product Overview
CAN/CSA-ISO/IEC 14495-2-04 (R2017)
CSA Group
Information Technology - Lossless and Near-Lossless Compression of Continuous-Tone Still Images: Extensions (Adopted ISO/IEC 14495-2:2003 , second edition, 2003-04-01)
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Description
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 transformation for inverse colour transforms; - specifies coded representations for compressed image data; - provides guidance on how to implement these processes in practice.
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 transformation for inverse colour transforms; - specifies coded representations for compressed image data; - provides guidance on how to implement these processes in practice.