Full-Reference Image Quality Metrics: Classification and Evaluation

IF 3.8 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Foundations and Trends in Computer Graphics and Vision Pub Date : 2012-04-01 DOI:10.1561/0600000037

Marius Pedersen, J. Hardeberg

引用次数: 108

Abstract

The wide variety of distortions that images are subject to during acquisition, processing, storage, and reproduction can degrade their perceived quality. Since subjective evaluation is time-consuming, expensive, and resource-intensive, objective methods of evaluation have been proposed. One type of these methods, image quality (IQ) metrics, have become very popular and new metrics are proposed continuously. This paper aims to give a survey of one class of metrics, full-reference IQ metrics. First, these IQ metrics were classified into different groups. Second, further IQ metrics from each group were selected and evaluated against six state-of-the-art IQ databases.

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全参考图像质量度量:分类和评价

在获取、处理、存储和复制过程中，图像会受到各种各样的扭曲，这会降低图像的感知质量。由于主观评价费时、昂贵且资源密集，因此提出了客观评价方法。其中一种方法，图像质量(IQ)指标，已经变得非常流行，新的指标不断被提出。本文的目的是概述一类指标，即全参考智商指标。首先，这些智商指标被分为不同的组。其次，从每个组中选择进一步的智商指标，并根据六个最先进的智商数据库进行评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Foundations and Trends in Computer Graphics and Vision COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

31.20

自引率

0.00%

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