Eye Movements on Assessing Perceptual Image Quality

  • Cheng-Min TsaiEmail author
  • Shing-Sheng Guan
  • Wang-Chin Tsai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9754)


The purpose of this study is focusing on “Analysis for human’s Region of Interest (ROI) on complex images”, and collected the subject’s eye movement and ‘scan path’ when assessing perceptual image quality task by using eye tracking method. The participants in this study were 30 students with convenience sampling from design, management and engineering college in National Yunlin University of Science and Technology. 11 stimulus of this experiment was selected from ISO standard image by focus group, and the type of image was divided into still image, portrait, landscape and architecturally image. The two tasks in this experiment are ‘assessing perceptual image quality’ and ‘assessing perceptual color quality’. And analysis the ‘Fixation duration’ and ‘Amplitude of saccade’ of ROIs from eye movement when assessing perceptual image quality task. The results show 1. when the ‘perceptual color quality’ is higher and the ‘perceptual image quality’ is higher, too; 2. The subjects were tended to browse the still and landscape image widely when assess the perceptual image quality and perceptual color quality task; 3. In contrast to the still image, the subjects were focus on the face of portrait image; 4. The subjects’ eye movement was tended to stabilize and homogenize when assess the ‘perceptual color quality task’.


Image quality Eye tracking Visual assessment 



The authors would like to thank the participants and TTLA (Taiwan TFT LCD Association) for supporting this research and providing insightful comments.


  1. 1.
    Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)Google Scholar
  2. 2.
    Maeder, A.J., Eckert, M.: Medical image compression: quality and performance issues. In: Pham, B., Braun, M., Maeder, A.J, Eckert, M.P (eds.) New Approaches in Medical Image Analysis, Proceedings of SPIE, vol. 3747, pp. 93–101 (1999)Google Scholar
  3. 3.
    Sheikh, H.R., Bovik, A.C.: Image information and visual quality. IEEE Trans. Image Process. 15(2), 430–444 (2006)CrossRefGoogle Scholar
  4. 4.
    Ginesu, G., Massidda, F., Giusto, D.D.: A multi-factors approach for image quality assessment based on a human visual system model. Sig. Process. Image Commun. 21, 316–333 (2006)CrossRefGoogle Scholar
  5. 5.
    Fedorovskaya, E.A., Ridder, H., Blommaert, F.J.: Chroma variants and perceived quality of color images of natural scenes. Color Res. Appl. 22(2), 96–110 (1996)CrossRefGoogle Scholar
  6. 6.
    Privitera, C.M., Fujita, T., Chernyak, D., Stark, L.W.: On the discriminability of hROIs, human visually selected regions of interest. Biol. Cybern. 93(2), 141–152 (2005)CrossRefzbMATHGoogle Scholar
  7. 7.
    Santella, A., DeCarlo, D.: Robust clustering of eye movement recordings for quantification of visual interest, In: The proceeding of Eye Tracking Research and Applications (ETRA) Symposium (2004)Google Scholar
  8. 8.
    Calabria, A.J., Fairchild, M.D.: Perceived image contrast and observer preference I: the effects of lightness, chroma, and sharpness, manipulations on contrast perception, Munsell Color Science Laboratory, Rochester Institute of Technology (2003)Google Scholar
  9. 9.
    Sheedy, J.E., Smith, R., Hayes, J.: Visual effects of the luminance surrounding a computer display. Ergonomics 48(9), 1114–1128 (2005)CrossRefGoogle Scholar
  10. 10.
    Nguyen, A., Chandran, V., Sridharan, S.: Gaze tracking for region of interest coding in JPEG 2000. Sig. Process. Image Commun. 21, 356–377 (2006)Google Scholar
  11. 11.
    Trémeau, A., Charrier, C.: Influence of chromatic changes on the perception of color image quality. Color Res. Appl. 25(3), 200–213 (1999)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Cheng-Min Tsai
    • 1
    Email author
  • Shing-Sheng Guan
    • 2
  • Wang-Chin Tsai
    • 3
  1. 1.Department of Creative Product Design and ManagementFar East UniversityTainanTaiwan
  2. 2.School of DesignFujian University of TechnologyFuzhouChina
  3. 3.Department and Graduate School of Product and Media DesignFo Guang UniversityYilanTaiwan

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