Research on image quality assessment in wavelet domain based on structural similarity

被引：0
|
作者：
Yang, Chun-Ling [1 ]
Gao, Wen-Rui [1 ]
机构：
[1] School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2009年 / 37卷 / 04期
关键词：
Image compression - Image quality - Signal reconstruction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
As image processing in wavelet domain has been an important part of image processing, it is very important to find an assessment model of image quality that can be used in image processing algorithms based on discrete wavelet transform (DWT). The SSIM (Structural Similarity), an image quality assessment method, is proposed in pixel domain based on structural information, and it has excellent performance of simplicity and well correlation with subjective evaluation. Based on the research of image structural properties in wavelet domain, in this paper we propose an image quality assessment method that is called the Discrete Wavelet Transform based Structural Similarity (DWTSSIM). The result shows that the proposed DWTSSIM correlates well with the judgment of human observers. And it can easily be embedded in image processing algorithms in wavelet domain, to guide or regulate the processing algorithms.
引用
收藏
页码：845 / 849
相关论文
共 50 条
  • [31] Blind Image Quality Assessment Based on Wavelet Power Spectrum in Perceptual Domain
    路朋罗
    李永昌
    金龙旭
    韩双丽
    Transactions of Tianjin University, 2016, 22 (06) : 596 - 602
  • [32] Kurtosis-based Blind Noisy Image Quality Assessment in Wavelet Domain
    Wang, Shuigen
    Deng, Chenwei
    Li, Cheng
    Liu, Xun
    Zhao, Baojun
    2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 1557 - 1560
  • [33] Blind Image Quality Assessment Based on Wavelet Power Spectrum in Perceptual Domain
    路朋罗
    李永昌
    金龙旭
    韩双丽
    Transactions of Tianjin University, 2016, (06) : 596 - 602
  • [34] Blind image quality assessment based on wavelet power spectrum in perceptual domain
    Lu P.
    Li Y.
    Jin L.
    Han S.
    Transactions of Tianjin University, 2016, 22 (6) : 596 - 602
  • [35] Optimum Wavelet Thresholding Based on Structural Similarity Quality Assessment for FFT-OFDM
    Al-Hinai, Noura
    Al-Mawali, Khalifa
    Sadik, Amin Z.
    Hussain, Zahir M.
    2008 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS, PROCEEDINGS, 2008, : 431 - +
  • [36] Equalized Structural Similarity Index for Image Quality Assessment
    Capodiferro, L.
    Mangiatordi, F.
    Di Claudio, E. D.
    Jacovitti, G.
    PROCEEDINGS OF THE 7TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2011), 2011, : 420 - 424
  • [37] Sparse Structural Similarity for Objective Image Quality Assessment
    Zhang, Xiang
    Wang, Shiqi
    Gu, Ke
    Jiang, Tingting
    Ma, Siwei
    Gao, Wen
    2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, 2015, : 1561 - 1566
  • [38] Metric of image quality based on structural similarity
    Lab. for Biometric and Medical Image Processing, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
    Guangdian Gongcheng, 2007, 11 (108-113):
  • [39] Image Quality Assessment Scheme Based on Structural Contrast Index and Gradient Similarity
    Liu, Li
    Zheng, Yuanlin
    Wang, Wei
    ADVANCED GRAPHIC COMMUNICATIONS AND MEDIA TECHNOLOGIES, 2017, 417 : 325 - 331
  • [40] Method of image quality assessment based on human visual system and structural similarity
    Yang, Wei
    Zhao, Yan
    Xu, Dong
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2008, 34 (01): : 1 - 4
12345