Reduced reference image quality assessment using regularity of phase congruency |
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| Institution: | 1. School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China;2. IRCCyN Lab, University of Nantes, BP 50609 44306 Nantes Cedex 3, France;1. School of Computer Science and Technology, Xidian University, Xi׳an, China;2. School of Telecommunication Engineering, Xidian University, Xi׳an, China;1. Instituto de Telecomunicações, Portugal;2. Universidade de Coimbra/DEEC, Coimbra, Portugal;3. Instituto Politécnico de Leiria/ESTG, Leiria, Portugal;1. Department of Urology, Sector Furore, Erasmus Medical Centre, Rotterdam, The Netherlands;2. Medical UltraSound Imaging Center (MUSIC), Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands |
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| Abstract: | In this paper, a reduced-reference image quality assessment metric is proposed, which measures the difference of the regularity of the phase congruency (PC) between the reference image and the distorted image. The proposed model adopts a three-stage approach. The PC of the image is first extracted, then the fractal dimensions are computed on PC as the image features that characterize the image structures from the view of the spatial distribution. Finally the image features are pooled as the quality score using ℓ1 distance. The proposed approach is evaluated on seven public benchmark databases. Experimental results have demonstrated the excellent performance of the proposed approach. |
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| Keywords: | Reduced-reference image quality assessment Fractal dimension Phase congruency |
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