• Laser & Optoelectronics Progress
  • Vol. 54, Issue 7, 71001 (2017)
Hou Chunping*, Ma Tongtong, Yue Guanghui, Feng Dandan, and Liu Yue
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop54.071001 Cite this Article Set citation alerts
    Hou Chunping, Ma Tongtong, Yue Guanghui, Feng Dandan, Liu Yue. Multiply-Distorted Image Quality Assessment Based on High-Order Phase Congruency[J]. Laser & Optoelectronics Progress, 2017, 54(7): 71001 Copy Citation Text show less
    References

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

    [2] Gu K, Zhai G, Liu M, et al. FISBLIM: a five-step blind metric for quality assessment of multiply distorted images[C]. 2013 IEEE Workshop on Signal Processing Systems (SiPS), 2013: 241-246.

    [3] Gu K, Zhai G, Yang X, et al. Hybrid no-reference quality metric for singly and multiply distorted images[J]. IEEE Transactions on Broadcasting, 2014, 60(3): 555-567.

    [4] Li Q, Lin W, Fang Y. No-reference quality assessment for multiply-distorted images in gradient domain[J]. IEEE Signal Processing Letters, 2016, 23(4): 541-545.

    [5] Li Chengfei, Chen Xinhua. Vehicle type recognition based on combining local binary pattern and Hu matrix feature[J]. Laser & Optoelectronics Progress, 2016, 53(10): 101503.

    [6] Ghosh K, Sarkar S, Bhaumik K. Understanding image structure from a new multi-scale representation of higher order derivative filters[J]. Image and Vision Computing, 2007, 25(8): 1228-1238.

    [7] Yuan Weiqi, Fan Yonggang, Ke Li. Palmprints recognition method based on the phase consistency combined with log-gabor filter[J]. Acta Optica Sinica, 2010, 30(1): 147-152.

    [8] Kovesi P. Phase congruency detects corners and edges[C]. The Australian Pattern Recognition Society Conference: DICTA, 2003: 309-318.

    [9] Gu K, Zhai G, Yang X, et al. A new reduced-reference image quality assessment using structural degradation model[C]. 2013 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2013: 1095-1098.

    [10] Jayaraman D, Mittal A, Moorthy A K, et al. Objective quality assessment of multiply distorted images[C]. Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012, 43(4): 1693-1697.

    [11] Haralick R M, Shanmugam K. Textural features for image classification[J]. IEEE Transactions on Systems, Man & Cybernetics, 1973, 3(6): 610-621.

    [12] Li Meng, Hua Weiping, Zhao Jufeng. Dual-band image fusion using visual attention extraction with multiple windows[J]. Laser & Optoelectronics Progress, 2015, 52(12): 121002.

    [13] Zhao Shusen, Chen Sijia, Shen Jingling. Identification of terahertz absorption spectra of illicit drugs using support vector machines[J]. Chinese J Lasers, 2009, 36(3): 752-757.

    [14] Chen Jing, Jiang Hao, Liu Tundong, et al. Optimization for raman fiber amplifiers based on least squares support vector regression model[J]. Acta Optica Sinica, 2015, 35(11): 1123004.

    [15] 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.

    [16] Larson E C, Chandler D M. Most apparent distortion: full-reference image quality assessment and the role of strategy[J]. Journal of Electronic Imaging, 2010, 19(1): 011006.

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

    [18] Xue W, Zhang L, Mou X, et al. Gradient magnitude similarity deviation: a highly efficient perceptual image quality index[J]. IEEE Transactions on Image Processing, 2014, 23(2): 684-695.

    [19] Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain[J]. IEEE Transactions on Image Processing, 2012, 21(12): 4695-4708.

    [20] Zhang L, Zhang L, Bovik A C. A feature-enriched completely blind image quality evaluator[J]. IEEE Transactions on Image Processing, 2015, 24(8): 2579-2591.

    [21] Xue W, Mou X, Zhang L, et al. Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features[J]. IEEE Transactions on Image Processing, 2014, 23(11): 4850-4862.

    CLP Journals

    [1] Zhang Hao, Sang Qingbing. No Reference Video Quality Assessment Based on Transfer Learning[J]. Laser & Optoelectronics Progress, 2018, 55(9): 91101

    [2] Zhang Shufang, Guo Zhipeng. No-Reference Video Quality Assessment Based on Three-Dimensional Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2018, 55(7): 71101

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

    Hou Chunping, Ma Tongtong, Yue Guanghui, Feng Dandan, Liu Yue. Multiply-Distorted Image Quality Assessment Based on High-Order Phase Congruency[J]. Laser & Optoelectronics Progress, 2017, 54(7): 71001
    Download Citation