REGISTER

FR
Search
×
FR

Placeholder headline

This is just a placeholder headline

API MPMS CH 22.6: Testing Protocols for Gas Chromatographs : Reaffirmed

$

192

BUY NOW

Placeholder headline

This is just a placeholder headline

API RP 1174: Onshore Hazardous Liquid Pipeline Emergency Preparedness and Response : Reaffirmed

$

182

BUY NOW

Placeholder headline

This is just a placeholder headline

API STD 624: Type Testing of Rising Stem Valves Equipped with Flexible Graphite Packing for Fugitive

$

171

BUY NOW

Placeholder headline

This is just a placeholder headline

API STD 20G: Welding Services for Equipment used in the Petroleum and Natural Gas Industry : Reaffirmed

$

164

BUY NOW

Placeholder headline

This is just a placeholder headline

API STD 624: Errata 2

$

0.00

BUY NOW

Placeholder headline

This is just a placeholder headline

API RP 1173: Pipeline Safety Management Systems

$

167

BUY NOW

ISO 29170:2015

ISO 29170:2015 Information technology – Advanced image coding and evaluation – Part 2: Evaluation procedure for nearly lossless coding

CDN $233.00

SKU: 40dd3d87cbe9 Category:

Description

ISO/IEC 29170-2:2015 normalizes evaluation and grading of a light coding system used for displays and display systems, but is independent of the display technology. This procedure measures whether an observer can distinguish between an uncompressed reference and the reconstructed image to a pre-determined, statistically meaningful level.

The procedure compares individual images with two possible forced choice comparison test methods. This procedure relies on subjective evaluation methods designed to discern image imperfections on electronic colour displays of any technology or size.

Edition

1

Published Date

2015-08-13

Status

PUBLISHED

Pages

25

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

ISO/IEC 29170-2:2015 normalizes evaluation and grading of a light coding system used for displays and display systems, but is independent of the display technology. This procedure measures whether an observer can distinguish between an uncompressed reference and the reconstructed image to a pre-determined, statistically meaningful level.

The procedure compares individual images with two possible forced choice comparison test methods. This procedure relies on subjective evaluation methods designed to discern image imperfections on electronic colour displays of any technology or size.

Previous Editions

Can’t find what you are looking for?

Please contact us at: