吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1702-1708.doi: 10.13229/j.cnki.jdxbgxb201505046

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Quality assessment method for gamut mapping distortion type images

SONG Chao1, 2, WANG Rui-guang1, FENG Ying-qiao1, 2, CHEN Yu1, DENG Yi-cheng1   

  1. 1.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences, Changchun 130033,China;
    2.College of Information Technology,North China University of Science and Technology,Tangshan 063009,China
  • Received:2014-01-14 Online:2015-09-01 Published:2015-09-01

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Abstract: For gamut mapping distortion type images, a new image assessment method was proposed based on traditional algorithms. First, each image feature extraction objective and extraction method were elaborated, and a final assessment formula, named GMSIM, was established based on these features. Then, applying three existing gamut mapping image sets and the TID2008 image library, the parameters of the GMSIM algorithm were fitted, and the prediction accuracy of the algorithm was analyzed. For gamut mapping image sets, hit rate was used as indication of the algorithm performance. Experiment results show that, compared with traditional SSIM method, the proposed GMSIM algorithm prediction accuracy of subjective perceptions for gamut mapping distortion images was improved by about 4.5%, although there is still much room for improvement. The prediction performance for TID2008 image library is also improved to some extent.

Key words: information processing technology, image quality assessment, gamut mapping

CLC Number: 

  • TN911
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