• Laser & Optoelectronics Progress
  • Vol. 54, Issue 10, 101003 (2017)
Zhang Fan, Zhang Ruoya, and Li Zhenzhen
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop54.101003 Cite this Article Set citation alerts
    Zhang Fan, Zhang Ruoya, Li Zhenzhen. Image Quality Assessment Based on Symmetry Phase Congruency[J]. Laser & Optoelectronics Progress, 2017, 54(10): 101003 Copy Citation Text show less
    References

    [1] Wang Z, Bovik A C. Modern image quality assessment[M]. New York: Morgan and Claypool Publishing Company, 2006: 20-30.

    [2] 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.

    [3] Chang H W, Yang H, Gan Y, et al. Sparse feature fidelity for perceptual image quality assessment[J]. IEEE Transactions on Image Processing, 2013, 22(10): 4007-4018.

    [4] Lv X, Wang Z J. Reduced-reference image quality assessment based on perceptual image hashing[C]. Proceedings of the 2009 16th IEEE International Conference on Image Processing (ICIP), 2009: 4361-4364.

    [5] Xue Xiaobo, Yu Mei, He Meiling. Sterescopic image-quality-assessment method based on visual cell model[J]. Laser & Optoelectronics Progress, 2016, 53(4): 041004.

    [6] Wang Z, Wu G X, Sheikh H R, et al. Quality-aware images[J]. IEEE Transactions on Image Processing, 2006, 15(6): 1680-1689.

    [7] Tian Haonan, Li Sumei. Objective evaluation method for image quality based on edge structure similarity[J]. Acta Photonica Sinica, 2013, 42(1): 110-114.

    [8] Zhang L, Zhang L, Mou X Q, et al. FSIM: a feature similarity index for image quality assessment[J]. IEEE Transactions on Image Processing, 2011, 20(8): 2378-2386.

    [9] Xiao Zhitao, Hou Zhengxin, Guo Chengming. Image feature detection technique based on phase information: symmetry phase congruency[J]. Journal of Tianjin University, 2004, 37(8): 695-699.

    [10] Morrone M C, Owens R A. Feature detection from local energy[J]. Pattern Recognition Letters, 1987, 6(5): 303-313.

    [11] Yang Diwei, Yu Shaoquan. Image quality assessment based on phase congruency[J]. Computer Engineering and Applications, 2015, 51(2): 16-20.

    [12] Liu Z, Laganière R. Phase congruence measurement for image similarity assessment[J]. Pattern Recognition Letters, 2007, 28(1): 166-172.

    [13] Morrone M C, Ross J, Burr D C, et al. Mach bands are phase dependent[J]. Nature, 1986, 324(6094): 250-253.

    [14] Kovesi P. Invariant measures of image features from phase information[D]. Perth: Department of Computer Science, University of Western Australia, 1996.

    [15] Fu S J, Ruan Q Q, Wang W Q. A shock-diffusion equation with local coupling term for image sharpening[J]. Journal of Optoelectronics·Laser, 2007, 18(2): 245-248.

    [16] Chu Jiang, Chen Qiang, Yang Xichen. Review on full reference image quality assessment algorithms[J]. Application Research of Computers, 2014, 31(1): 13-22.

    [17] Yang C, Kwok S H. Efficient gamut clipping for color image processing using LHS and YIQ[J]. Optical Engineering, 2003, 42(3): 701-711.

    [18] Tan Yongqian, Zeng Fanju, Yue Li, et al. An improved texture image synthesis algorithm[J]. Laser & Optoelectronics Progress, 2016, 53(12): 121001.

    [19] Li Junshan, Ma Ying, Zhao Fangzhou, et al. A novel arithmetic of image edge detection of canny operator[J]. Acta Photonica Sinica, 2011, 40(s1): 50-54.

    [20] Xiang Yan, Ye Qinghao, Liu Jianguo, et al. Retrieve of planetary boundary layer height based on image edge detection[J]. Chinese J Lasers, 2016, 43(7): 0704003.

    [21] Sheikh H R, Wang Z, Cormack L, et al. LIVE image quality assessment database release 2[EB/OL]. [2017-04-24]http:live.ece.utexas.edu/research/quality.

    [22] Sheikh H R, Sabir M F, Bovik A C. A statistical evaluation of recent full reference image quality assessment algorithms[J]. IEEE Transactions on Image Processing, 2006, 15(11): 3440-3451.

    [23] Corriveau P J, Webster A A, Rohaly A M, et al. Video quality experts group: the quest for valid objective methods[C]. Electronic Imaging. International Society for Optics and Photonics, 2000: 129-139.

    [24] Brunnstrom K, Hands D, Speranza F, et al. VQEG validation and ITU standardization of objective perceptual video quality metrics[J]. IEEE Signal Processing Magazine, 2009, 26(3): 96-101.

    [25] Goodman J W. Introduction to Fourier optics[M]. Qin Kecheng, Liu Peisen, Chen Jiabi, et al. Transl. 3rd ed. Beijing: Publishing House of Electronics Industry, 2016: 114-116.

    CLP Journals

    [1] Yindong Chen, Chaofeng Li, Qingbing Sang. Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111003

    [2] Han Xueying, Wang Qi, Ge Naixin. [J]. Laser & Optoelectronics Progress, 2018, 55(7): 71011

    [3] Chunping Hou, Honghu Lin. Stereoscopic Image Quality Assessment Based on Wavelet Transform and Structure Characteristics[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061005

    [4] Yindong Chen, Chaofeng Li, Qingbing Sang. Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111003