Standard ISO/IEC 14495-2-ed.2.0 2.4.2003 preview

ISO/IEC 14495-2-ed.2.0

Information technology - Lossless and near-lossless compression of continuous-tone still images: Extensions - Part 2:

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STANDARD published on 2.4.2003


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The information about the standard:

Designation standards: ISO/IEC 14495-2-ed.2.0
Publication date standards: 2.4.2003
SKU: NS-941032
The number of pages: 55
Approximate weight : 165 g (0.36 lbs)
Country: International technical standard
Category: Technical standards ISO

The category - similar standards:

Coding of graphical and photographical information

Annotation of standard text ISO/IEC 14495-2-ed.2.0 :

ISO/IEC 14495-2:2003 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. ISO/IEC 14495-2:2003:

  • 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.
LISO/CEI 14495-2:2003 definit un ensemble de methodes de compression pour le codage dimages numeriques fixes a modele continu (notamment a deux niveaux), en gammes de gris ou en couleurs. Ces methodes sont dites sans perte, lorsque lechantillon reconstitue reproduit au bit pres lechantillon de depart, ou quasi sans perte, lorsque le niveau derreur afferent a chacun des echantillons reconstitues reste borne par une valeur definie au prealable. LISO/CEI 14495-2:2003 contient
  • la specification des extensions (destinees notamment au codage arithmetique, au codage quasi sans perte, a la prediction et au codage de Golomb) des processus de conversion des donnees dimage source en donnees dimage comprimees;
  • la specification des extensions des processus de conversion des donnees dimage comprimees en donnees dimage reconstituees, notamment une extension destinee a la transformation dun echantillon lors de la transformee inverse des couleurs;
  • la specification des representations codees des donnees dimage comprimees;
  • des conseils pratiques pour limplementation de ces processus.

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