Image quality assessment: From error visibility to structural similarity
Image quality assessment: From error visibility to structural similarity
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DOI：
10.1109/tip.2003.819861
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发表时间：
2004-04-01
影响因子：
10.6
通讯作者：
Simoncelli, EP
中科院分区：
文献类型：
--
作者：
Wang, Z;Bovik, AC;Simoncelli, EP
用于评估感知图像质量的客观方法传统上试图使用人类视觉系统的各种已知特性来量化失真图像和参考图像之间的误差（差异）的可见性。假设人类的视觉感知是高度适应从场景中提取结构信息，我们介绍了一种替代的补充框架的基础上退化的结构信息的质量评估。作为这一概念的一个具体例子，我们开发了一个结构相似性指数，并通过一组直观的例子，以及比较主观评级和国家的最先进的客观方法与JPEG和JPEG 2000压缩的图像数据库证明其承诺。（一）
Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative complementary framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a Structural Similarity Index and demonstrate its promise through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.(1)