Computer Science ›› 2018, Vol. 45 ›› Issue (8): 70-74.doi: 10.11896/j.issn.1002-137X.2018.08.012

• ChinaMM 2017 • Previous Articles     Next Articles

Quality Evaluation of Color Image Based on Discrete Quaternion Fourier Transform

CHEN Li-li1, ZHU Feng2, SHENG Bin3, CHEN Zhi-hua1   

  1. School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China1
    Faculty of Science,Jiangsu University,Zhenjiang,Jiangsu 212013,China2
    School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China3
  • Received:2017-10-24 Online:2018-08-29 Published:2018-08-29

Abstract: Quality evaluation of color image is of great significance in image acquisition,compression,storage,transmission and so on.However,traditional objective evaluation methods often lose some color information or ignore the integrity of color image,making the results can not be well consistent with the subjective scores.This paper proposed an objective quality evaluation method of color image based on discrete quaternion Fourier transform(DQFT).A color image is expressed as a quaternion matrix and the discrete quaternion Fourier transform is applied.Then,the spectrum is divided into non-uniform bins and a reduced space representation of the spectrum is obtained by considering the characte-ristics of Human vision system which is sensitive to the distortion of lower frequency components and insensitive to higher frequency components.Next,the amplitude similarity and phase similarity between the distorted image and the reference image are described.Taking into account the influence on the image quality of the amplitude similarity and phase similarity,both of them are integrated by using entropy method and the index of the distorted image quality is achieved.Finally,image databases were used to analyze the correlation between the objective scores and the subjective scores.The experimental results demonstrate the feasibility and effectiveness of the proposed method.

Key words: Color image, Correlation analysis, Discrete quaternion Fourier transform, Non-uniform binning, Objective quality evaluation

CLC Number: 

  • TP391
[1]JIANG G Y,HUANG D J,WANG X,et al.Overview on image quality assessment methods[J].Journal of Electronics & Information Technology,2010,32(1):219-226.(in Chinese)蒋刚毅,黄大江,王旭,等.图像质量评价方法研究进展[J].电子与信息学报,2010,32(1):219-226.
[2]LIANG Y,LIU Y J,GUTIERREZ D.Objective quality prediction of image retargeting algorithms[J].IEEE Transactions on Visualization and Computer Graphics,2017,23(2):1099-1110.
[3]QURESHI M A,BEGHDADI A,SDIRI B,et al.A comprehensive performance evaluation of objective quality metrics for contrast enhancement techniques[C]∥European Workshop on Vi-sual Information Processing.Marseille,2016:1-5.
[4]MANTIUK R K,TOMASZEWSKA A,MANTIUK R.Compa-rison of four subjective methods for image quality assessment[J].Computer Graphics Forum,2012,31(8):2478-2491.
[5]ZARIC A,LONCARIC M,TRALIC D,et al.Image quality assessment-comparison of objective measures with results of subjective test[C]∥Proceedings ELMAR-2010.Zadar,2010:113-118.
[6]XUE W,ZHANG L,MOU X,et al.Gradient magnitude simila-rity deviation:A highly efficient perceptual image quality index[J].IEEE Transactions on Image Processing,2014,23(2):684-695.
[7]REENU M,DAVID D,RAJ S S A,et al.Wavelet based sharp features (WASH):An image quality assessment metric based on hvs[C]∥Proceedings of the International Conference on Advanced Computing,Networking and Security.Mangalore,2013:79-83.
[8]LI S,ZHANG F,MA L,et al.Image quality assessment by separately evaluating detail losses and additive impairments[J].IEEE Transactions on Multimedia,2011,13(5):935-949.
[9]THAKUR N,DEVI S,UPADHYAY P.Grayscale image quality measure in spatial domain[C]∥Proceedings of the International Conference on Computer and Communication Technology.Allahabad,Uttar Pradesh,2010:224-229.
[10]RUAAO F,DE ANGELIS A,CARBONE P.A vector approach to quality assessment of color images[C]∥Proceedings of the IEEE International Instrumentation and Measurement Techno-logy Conference.Victoria,BC,Canada,2008:814-818.
[11]YALMAN Y,ERTURK I.A new color image quality measure based on YUV transformation and PSNR for human vision system[J].Turkish Journal of Electrical Engineering & Computer Sciences,2013,21(2):603-612.
[12]WANG Z,BOVIK A C,SHEIKH H R,et al.Image quality assessment:from error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612.
[13]YE J,ZHANG J Q,HU B.Hypercomplex Singular Value Decomposition Approach to Objcetively Assessing Color Image Quality[J].Chinese Journal of Electronics,2007,35(1):28-33.(in Chinese)叶佳,张建秋,胡波.客观评估彩色图像质量的超复数奇异值分解法[J].电子学报,2007,35(1):28-33.
[14]NARWARIA M,LIN W,MCLOUGHLIN I V,et al.Fouriertransform-based scalable image quality measure[J].IEEE Transactions on Image Processing,2012,21(8):3364-3377.
[15]ELL T A,SANGWINE S J.Hypercomplex Fourier Transforms of Color Images[J].IEEE Transactions on Image Processing,2007,16(1):22-35.
[16]OUYANG J,COATRIEUX G,CHEN B,et al.Color image watermarking based on quaternion Fourier transform and improved uniform log-polar mapping[J].Computers & Electrical Engineering,2015,46:419-432.
[17]GRIGORYAN A M,JENKINSON J,AGAINAN S S.Quaternion Fourier transform based alpha-rooting method for color ima-ge measurement and enhancement[J].Signal Processing,2015,109(C):269-289.
[18]YANG C,ZHANG J,YANG D,et al.Discrete-quaternion-Fourier-transform-based registration method for color images[C]∥International Conference on Audio,Language and Image Processing.Shanghai,2010:1184-1189.
[19]CAKIR S,CETIN A.Mel-cepstral feature extraction methods for image representation[J].Optical Engineering,2010,49(9):097004.
[20]ZOU Z H,YUN Y,SUN J N.Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment[J].Journal of Environmental Scie-nces,2006,18(5):1020-1023.
[21]AMIRI V,REZAEI M,SOHRABI N.Groundwater quality assessment using entropy weighted water quality index (EWQI) in Lenjanat,Iran[J].Environmental Earth Sciences,2014,72(9):3479-3490.
[22]SHEIKH H R,WANG Z,BOVIK A C,et al.Image and Video Quality Assessment Research at LIVE [OL].http://live.ece.utexas.edu/research/quality.
[23]PONOMARENKO N,LUKIN V,ZELENSKY A,et al.TID2008-A Database for Evaluation of Full-Reference Visual Quality Assessment Metrics[J].Advances of Modern Radioelectro-nics,2009,10(10):30-45.
[24]LARSON E C,CHANDLER D M.Categorical Image Quality (CSIQ)Database [OL].http://vision.okstate.edu/csiq.
[1] YANG Xiao, WANG Xiang-kun, HU Hao, ZHU Min. Survey on Visualization Technology for Equipment Condition Monitoring [J]. Computer Science, 2022, 49(7): 89-99.
[2] XU Ru-li, HUANG Zhang-can, XIE Qin-qin, LI Hua-feng, ZHAN Hang. Multi-threshold Segmentation for Color Image Based on Pyramid Evolution Strategy [J]. Computer Science, 2022, 49(6): 231-237.
[3] ZHANG Sai-nan, LI Qian-mu. Color Image Encryption Algorithm Based on Logistic-Sine-Cosine Mapping [J]. Computer Science, 2022, 49(1): 353-358.
[4] SUN Lin, PING Guo-lou, YE Xiao-jun. Correlation Analysis for Key-Value Data with Local Differential Privacy [J]. Computer Science, 2021, 48(8): 278-283.
[5] PENG Hao and HE Li-fang. Multi-threshold Segmentation for Color Image Based on Improved Tree-seed Algorithm [J]. Computer Science, 2020, 47(6A): 220-225.
[6] MO Cai-wang, CHANG Kan, LI Heng-xin, LI Ming-hong, QIN Tuan-fa. Color Image Super-resolution Algorithm Based on Inter-channel Correlation and Nonlocal Self-similarity [J]. Computer Science, 2020, 47(6): 138-143.
[7] ZHANG Qin, CHEN Hong-mei, FENG Yun-fei. Overlapping Community Detection Method Based on Rough Sets and Density Peaks [J]. Computer Science, 2020, 47(5): 72-78.
[8] LI Gang, WANG Chao, HAN De-peng, LIU Qiang-wei, LI Ying. Study on Multimodal Image Genetic Data Based on Deep Principal Correlated Auto-encoders [J]. Computer Science, 2020, 47(4): 60-66.
[9] LU Xian-guang, DU Xue-hui, WANG Wen-juan. Alert Correlation Algorithm Based on Improved FP Growth [J]. Computer Science, 2019, 46(8): 64-70.
[10] WANG Xiao, ZOU Ze-wei, LI Bo-bo, WANG Jing. Target Detection in Colorful Imaging Sonar Based on Multi-feature Fusion [J]. Computer Science, 2019, 46(6A): 177-181.
[11] RU Feng, XU Jin, CHANG Qi, KAN Dan-hui. High Order Statistics Structured Sparse Algorithm for Image Genetic Association Analysis [J]. Computer Science, 2019, 46(4): 66-72.
[12] CHEN Zheng, TIAN Bo, HE Zeng-you. PPI Network Inference Algorithm for PCP-MS Data [J]. Computer Science, 2019, 46(12): 313-321.
[13] LV Dong-mei, LI Guo-dong. Spatial Encryption Algorithm Based on Double Chaos and Color Image [J]. Computer Science, 2019, 46(11A): 450-454.
[14] ZHAO Fang-zheng, LI Cheng-hai, LIU Chen, SONG Ya-fei. Security Analysis and Optimization of Hyper-chaotic Color Image Encryption Algorithm [J]. Computer Science, 2019, 46(11A): 483-487.
[15] CHEN Feng, MENG Zu-qiang. Study on Heterogeneous Multimodal Data Retrieval Based on Hash Algorithm [J]. Computer Science, 2019, 46(10): 49-54.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!