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电子学报 ›› 2012, Vol. 40 ›› Issue (3): 559-563.DOI: 10.3969/j.issn.0372-2112.2012.03.024

• 科研通信 • 上一篇    下一篇

基于小波第二级系数误差的图像质量评价模型

郑江云, 江巨浪   

  1. 安庆师范学院物理与电气工程学院,安徽安庆 246011
  • 收稿日期:2009-12-31 修回日期:2010-06-18 出版日期:2012-03-25
    • 基金资助:
    • 安徽省自然科学基金 (No.090412065); 安徽高等学校省级自然科学基金 (No.KJ2009B123)

A Model of Image Quality Assessment Based on Wavelet Second Coefficient Error

ZHENG Jiang-yun, JIANG Ju-lang   

  1. School of Physics and Electronic Engineering,Anqing Teachers College,Anqing,Anhui 246011,China
  • Received:2009-12-31 Revised:2010-06-18 Online:2012-03-25 Published:2012-03-25

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摘要： 图像质量研究的目标是设计客观评价算法,它与主观评价有很强的相关性.本文根据人眼对图像高低频失真的敏感度不同,采用不同方法分别计算图像高频和低频失真量,然后将两种失真量直接相乘得到客观评价值.实验结果表明,这种客观评价模型能够一致评价各种失真类型、各种失真强度的图像质量,与LIVE图库上差异主观评价分(DMOS)的线性相关性优于PSNR、LMSE和SSIM算法.

关键词: 图像质量评价, 小波变换, 小波第二级系数误差(WSCE), 差异主观评价分(DMOS)

Abstract: The goal of quality assessment research is to design algorithms for objective evaluation of quality in a way that is consistent with subjective human evaluation.Based on the human visual system(HVS) with different sensitivities in the frequency domain,low frequency coefficient error and high frequency coefficient error are calculated by different methods.The product of two errors is adopted as objective evaluation of quality.The new method is validated with subjective quality scores on LIVE database which containing 982 images.Experimental results show that the performance of the new method is superior to the algorithms of PSNR,LMSE and SSIM.

Key words: image quality assessment, wavelet transform, wavelet second coefficient error(WSCE), differential mean opinion score(DMOS)

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