基于小波高频结构相似的无参考高斯图像质量评价

doi:10.11772/j.issn.1001-9081.2014.10.2925

计算机应用 ›› 2014, Vol. 34 ›› Issue (10): 2925-2929.DOI: 10.11772/j.issn.1001-9081.2014.10.2925

基于小波高频结构相似的无参考高斯图像质量评价

黄晓生¹,严浩¹,曹义亲²

1. 华东交通大学信息工程学院，南昌 330013
2. 华东交通大学软件学院，南昌 330013

收稿日期:2014-04-15 修回日期:2014-05-22 出版日期:2014-10-01 发布日期:2014-10-30
通讯作者: 黄晓生
作者简介:黄晓生（1972-），男，江西于都人，副教授，博士，主要研究方向：图像处理、机器视觉；严浩（1991-），男，安徽六安人，硕士研究生，主要研究方向：图形图像处理；曹义亲（1964-），男，江西都昌人，教授，主要研究方向：图像处理、模式识别。
基金资助:
国家自然科学基金资助项目;江西省科技支撑计划项目;江西省教育厅科技项目

No-reference Gaussian image quality assessment based on wavelet high frequency structural similarity

HUANG Xiaosheng¹,YAN Hao¹,CAO Yiqin²

1. School of Information Engineering, East China Jiao Tong University, Nanchang Jiangxi 330013, China;
2. School of Software, East China Jiao Tong University, Nanchang Jiangxi 330013, China

Received:2014-04-15 Revised:2014-05-22 Online:2014-10-01 Published:2014-10-30
Contact: HUANG Xiaosheng

摘要/Abstract

摘要：

针对传统无参考图像质量评价方法计算复杂、难以应用的问题，提出一种简单、直接的小波高频结构相似性的无参考高斯图像质量评价方法。该方法根据自然图像同尺度高频子带间结构相似度(SSIM)随着失真程度的增加而降低的性质，利用小波变换获取图像的同尺度不同方向的三个高频分量，通过分别计算图像高频子带间的峰值信噪比(PSNR)与结构相似度得出图像高频结构差异作为最终的图像客观评价指数。通过与三个公开图像数据库实验验证可知，提出的方法与主观评价具有较好的一致性，并且算法结合了物理意义明确的峰值信噪比与结构相似度，比传统方法算法运行更为简单快捷，评价一幅图像只需0.2s左右，具有良好的实用性。

Abstract:

Aiming at the problem of the high computation and application difficulty in traditional no-reference image assessment methods, a simple and direct no-reference Gaussian image quality assessment algorithm based on wavelet high frequency Structural SIMilarity (SSIM) was proposed. The proposed algorithm took into account the similarity among the natural images high frequency in the same scale which would be reduced with the distortion deepening. Three different directional sub-bands of high frequencies were obtained by the wavelet transform firstly，and then the Peak Signal-to-Noise Ratio (PSNR) and SSIM were combined for calculating the differences of sub-bands respectively as the last objective assessment index. The simulation results show that the proposed method has good consistence with the subjective assessment on three common image databases，in addition，the algorithm only needs about 0.2s for evaluating an image, which has good practicality.

中图分类号:

TN911.73

黄晓生严浩曹义亲. 基于小波高频结构相似的无参考高斯图像质量评价[J]. 计算机应用, 2014, 34(10): 2925-2929.

HUANG Xiaosheng YAN Hao CAO Yiqin. No-reference Gaussian image quality assessment based on wavelet high frequency structural similarity[J]. Journal of Computer Applications, 2014, 34(10): 2925-2929.

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基于小波高频结构相似的无参考高斯图像质量评价

No-reference Gaussian image quality assessment based on wavelet high frequency structural similarity

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