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Received:August 30, 2012 Revised:September 24, 2012
Received:August 30, 2012 Revised:September 24, 2012
中文摘要: 基于HVS (Human Visual System, 人眼视觉系统) 特性的图像质量评价方法研究已成为图像处理工程中一个重要研究领域. 但该特性仅考虑了视觉处理的早期阶段, 没有考虑到人的实际观察习惯, 割裂了像素间的相互关系. 鉴于此, 本文考虑利用图像的结构信息来描述彩色逆半调图像的降质程度, 并通过实验验证, 该评价指标能较好反映实际观测效果.
Abstract:Most image assessment methods based on human visual properties only take into account the early stage of the HVS. But natural image signals are highly structured, and the human visual system is highly adapted to extract structural information from the viewing field. Based on the two points above, an assessment method with structural similarity is proposed. The experimental results indicate that the two methods correlate with Mean Opinion Score well.
keywords: inverse halftone image assessment human visual system mean opinion score structrue similarity
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| JIANG Nan | Shaanxi Border Control Department, Xi'an 710086, China |
| Author Name | Affiliation |
| JIANG Nan | Shaanxi Border Control Department, Xi'an 710086, China |
引用文本：
姜楠.一种基于结构相似度的逆半调彩色图像质量评价方法.计算机系统应用,2013,22(3):125-127
JIANG Nan.Color Inverse Halftone Image Quality Assessment Algorithm Based on Structure Similarity.COMPUTER SYSTEMS APPLICATIONS,2013,22(3):125-127
姜楠.一种基于结构相似度的逆半调彩色图像质量评价方法.计算机系统应用,2013,22(3):125-127
JIANG Nan.Color Inverse Halftone Image Quality Assessment Algorithm Based on Structure Similarity.COMPUTER SYSTEMS APPLICATIONS,2013,22(3):125-127
