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, Objective quality evaluation, Discrete quaternion Fourier transform, Non-uniform binning, Correlation analysis

CLC Number: 

  • TP391
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