Optics and Precision Engineering, Volume. 21, Issue 3, 742(2013)

Active assessment of color image quality based on visual perception

CHEN Yong1,*... LI Yuan1, L Xia-fu1, XIE Zheng-xiang2 and FENG Peng1 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(16)

    [1] [1] HU X M, ZHANG D F, NAN D, et al.. Method of image visual quality evaluation based on human visual characteristics [J]. Journal of Computer Applications, 2012, 32(7): 1882-1884, 1889. (in Chinese)

    [2] [2] NIVEDITTA T, SWAPNA D. A new method for color image quality assessment [J]. International Journal of Computer Applications, 2011, 15(2): 10-17.

    [3] [3] ZHANG J, LE T M, ONG S H, et al.. No-reference image quality assessment using structural activity [J]. Signal Processing, 2011, 91(11): 2575-2588.

    [4] [4] ZHU J Y, WANG N C. Image quality assessment by visual gradient similarity[C]. Image Processing, Wuhan, P.R. China: IEEE, 2012: 919-933.

    [5] [5] CUI X N, SHI Z Y, LIN J A, et al.. The research of image quality assessment methods [J]. Physics Procedia, 2012, 25: 485-491.

    [6] [6] CHEN ZH G, YIN F CH. Enhancement of remote sensing image based on contourlet transform[J]. Opt. Precision Eng., 2008, 16(10): 2030-2037. (in Chinese)

    [7] [7] OUNI S, ZAGROUBA E, CHAMBAH M, et al.. No-reference image semantic quality approach using neural network [C]. Signal Processing and Information Technology, Ariana, P.R. Tunisia: ISSPIT, 2011: 106-113.

    [9] [9] MITTAL A, MURALIDHAR G S, GHOSH J, et al.. Blind image quality assessment without human training using latent quality factors[C]. Signal Processing Letters, TX, USA: IEEE, 2012: 75-78.

    [10] [10] LIN X Y, TIAN X, CHEN Y W. No-reference video quality assessment based on region of interest [C]. Consumer Electronics, Communications and Networks, Hangzhou, P.R. China: CECNet, 2012: 1924-1927.

    [12] [12] JIANG G Y, HUANG D J, WANG X, et al.. Overview on Image quality assessment method J. Journal of Electronics & Information Technology. 2010, 32(1): 219-225.

    [13] [13] XIE ZH X, WANG ZH F, XIONG X L, et al.. Color image quality assessment based on noise model of human vision perception and color image quality optimization [J]. Journal of Image and Graphics, 2010, 15(10): 1454-1464. (in Chinese)

    [14] [14] XIE ZH X, WANG ZH F, LIU Y H, et al.. The theory of gradually flattening gray spectrum [J]. Chinese Journal of Medical Physics, 2006, 23(6): 405-407, 426. (in Chinese)

    [15] [15] SHEIKH H, WANG Z, CORMACK L, et al.. LIVE image quality assessment database, release2EB/OL. http: //live .ece.utexas.edu/research/quality, (2008-03-21) 20080327.

    [16] [16] WANG Y Q, ZHU M. Color image quality assessment based on image quaternion representation for the local variance distribution of RGB channels[C]. Image and Signal Processing, Tianjin, P.R. China: CISP, 2009: 1-6.

    CLP Journals

    [1] ZHAO Hong-yu, XIAO Chuang-bai, YU Jing, BAI Lu. A Retinex algorithm for night color image enhancement by MRF[J]. Optics and Precision Engineering, 2014, 22(4): 1048

    [2] ZHANG Chuang, WANG Ya-ming, CHEN Su-ting. No-reference image quality assessment based on spatial dependency[J]. Optics and Precision Engineering, 2015, 23(11): 3211

    Tools

    Get Citation

    Copy Citation Text

    CHEN Yong, LI Yuan, L Xia-fu, XIE Zheng-xiang, FENG Peng. Active assessment of color image quality based on visual perception[J]. Optics and Precision Engineering, 2013, 21(3): 742

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Oct. 15, 2012

    Accepted: --

    Published Online: Apr. 8, 2013

    The Author Email: Yong CHEN (chenyong@cqupt.edu.cn)

    DOI:10.3788/ope.20132103.0742

    Topics