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应用科学学报 >

2011 , Vol. 29 >Issue 5: 473 - 482

DOI: https://doi.org/10.3969/j.issn.0255-8297.2011.05.006

信号与信息处理

基于局部结构信息的图像质量评价空间汇集策略

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  • 中国科学技术大学电子工程学与信息科学系，合肥230027
作者简介：王保云，博士生，研究方向：数字图像处理、信号表示，E-mail: bywang@mail.ustc.edu.cn

收稿日期: 2010-12-29

  修回日期: 2011-04-14

  网络出版日期: 2011-09-30

基金资助

基金项目：国家“973”重点基础研究发展计划基金(No.2010CB731904)资助

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Spatial Pooling Strategies for Image Quality Assessment Based on Local Structural Information

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  • Department of Electronic Engineering and Information Science, University of Science and Technology of China,
    Hefei 230027, China

Received date: 2010-12-29

  Revised date: 2011-04-14

  Online published: 2011-09-30

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摘要

该文从图像局部结构特性出发，提出一种基于图像局部结构信息的空间汇集算法. 首先对原始图像进行高斯模糊，提取局部结构信息并进行非零处理，进而形成汇集权重图. 通过对PSNR和SSIM的加权实验，验证了该汇集算法能够明显提高图像质量评价算法性能，并且对各种失真类型具有较好的适应性.

关键词： 图像质量评价; 结构信息; 视觉重要度; 空间汇集策略; 人类视觉系统

本文引用格式

王保云， 张荣， 尹东 . 基于局部结构信息的图像质量评价空间汇集策略[J]. 应用科学学报, 2011 , 29(5) : 473 -482 . DOI: 10.3969/j.issn.0255-8297.2011.05.006

Abstract

A spatial pooling strategies (SPS) for image quality assessment (IQA) is proposed, which obtain a weight map from local structural information (LSI) of the reference image. The reference image is first smoothed with a Gaussian kernel, and the LSI is extracted from the smoothed image. A weight map is derived from the LSI using a non-zero procedure. PSNR and SSIM obtained in the experiments show effectiveness of the proposed method for a wide range of image distortion types.

Key words：  image quality assessment; structural information; visual significance; spatial pooling strategy; human vision system(HVS)

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