ZHAO Baojun, DENG Chenwei. Image Quality Evaluation Method Based onHuman Visual System[J]. Chinese Journal of Electronics, 2010, 19(1): 129-132.
Citation: ZHAO Baojun, DENG Chenwei. Image Quality Evaluation Method Based onHuman Visual System[J]. Chinese Journal of Electronics, 2010, 19(1): 129-132.

Image Quality Evaluation Method Based onHuman Visual System

  • Received Date: 1900-01-01
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2010-01-05
  • MSE, PSNR, SSIM and other traditional
    objective image assessment metrics simply calculate sta-
    tistical average results between original images and recon-
    structed ones, which is incompatible with human visual
    system. To address this issue, a joint subjective and ob-
    jective image quality evaluation method is proposed. It has
    the following features: ¯rstly, the subjective feelings of re-
    constructed image are measured quantitatively in wavelet
    domain; secondly, only noticeable visual distortion is uti-
    lized in this model; lastly, based on di®erent character-
    istics of spatio-temporal frequency response, eye-sensitive
    wavelet coe±cients are enhanced, while those non-sensitive
    ones are inhibited. Experimental results show that the pro-
    posed model has simple structure and is easy-to-operate;
    furthermore, it can re°ect the visual e®ects accurately and
    objectively.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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